{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Exploratory analysis" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "TODO:\n", "- Understanding the reason for fake profiles can bring insight on how to catch them (could be trivial with prior knowledge, e.g., SEO hacking => URLs)\n", "- Study different cases (e.g. author publishing with empty orcid, author publishing but not on OpenAIRE, etc.)\n", "- Temporal dimension; is it of any use?\n", "- Can we access private info thanks to the OpenAIRE-ORCID agreement? No.\n" ] }, { "cell_type": "code", "execution_count": 114, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "[nltk_data] Downloading package punkt to /Users/andrea/nltk_data...\n", "[nltk_data] Package punkt is already up-to-date!\n" ] }, { "data": { "text/html": [ " \n", " " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import glob\n", "import ast\n", "\n", "from datetime import datetime\n", "import pytz\n", "\n", "import tldextract\n", "\n", "import ssl # needed because nltk.download down here fires an error\n", "try:\n", " _create_unverified_https_context = ssl._create_unverified_context\n", "except AttributeError:\n", " pass\n", "else:\n", " ssl._create_default_https_context = _create_unverified_https_context\n", "\n", "import nltk\n", "from nltk.tokenize import sent_tokenize\n", "from nltk.tokenize import word_tokenize\n", "nltk.download('punkt')\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "# import antispam\n", "# import profanity_check\n", "\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "import seaborn as sns\n", "import plotly\n", "from plotly.offline import iplot, init_notebook_mode\n", "import plotly.graph_objs as go\n", "import plotly.express as px\n", "\n", "init_notebook_mode(connected=True)\n", "TOP_N = 0\n", "TOP_RANGE = [0, 0]\n", "\n", "def set_top_n(n):\n", " global TOP_N, TOP_RANGE\n", " TOP_N = n\n", " TOP_RANGE = [-.5, n - 1 + .5]\n", " \n", "pd.set_option('display.max_columns', None)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notable solid ORCID iDs for explorative purposes:" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "AM = '0000-0002-5193-7851'\n", "PP = '0000-0002-8588-4196'\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notable anomalies:" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "JOURNAL = '0000-0003-1815-5732'\n", "NOINFO = '0000-0001-5009-2052'\n", "VALID_NO_OA = '0000-0002-5154-6404' # True profile, but not in OpenAIRE\n", "WORK_MISUSE = '0000-0001-7870-1120'\n", "# todo: find group-shared ORCiD, if possible" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notable fake ORCID iDs:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "FAKE_HEAP = {\n", " 'scaffold': '0000-0001-5004-7761',\n", " 'whatsapp': '0000-0001-6997-9470',\n", " 'penis': '0000-0002-3399-7287',\n", " 'bitcoin': '0000-0002-7518-6845',\n", " 'fitness': '0000-0002-1234-835X', # URL record + employment\n", " 'cannabis': '0000-0002-9025-8632', # URL > 70 + works (now REMOVED)\n", " 'plumber': '0000-0002-1700-8311', # URL > 10 + works\n", " 'furniture': '0000-0001-7478-4539',\n", " 'cleaners': '0000-0002-7392-3792'\n", "}" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Load the dataset" ] }, { "cell_type": "code", "execution_count": 221, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesurlsprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "3073261 0000-0002-5193-7851 True True \n", "\n", " given_names family_name \\\n", "3073261 andrea mannocci \n", "\n", " biography other_names \\\n", "3073261 data scientist & researcher; scholarly knowled... NaN \n", "\n", " primary_email \\\n", "3073261 andrea.mannocci@isti.cnr.it \n", "\n", " keywords \\\n", "3073261 [science of science, open science, research in... \n", "\n", " external_ids \\\n", "3073261 [[scopus author id, 55233589900]] \n", "\n", " education \\\n", "3073261 [[information engineering, ph.d., università d... \n", "\n", " employment n_works \\\n", "3073261 [[research associate, istituto di scienza e te... 37 \n", "\n", " works_source \\\n", "3073261 [scopus - elsevier, crossref metadata search, ... \n", "\n", " activation_date last_update_date \\\n", "3073261 2017-09-12 14:28:33.467000+00:00 2021-03-17 15:40:07.776000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "3073261 34 0 0 60 True isti.cnr.it \n", "\n", " other_email_domains url_domains n_emails \\\n", "3073261 NaN [github.io, twitter.com, linkedin.com] \n", "\n", " n_urls n_ids n_keywords n_education n_employment \n", "3073261 3 1 5 4 5 " ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df['orcid'] == AM]" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
98872720000-0001-6997-9470TrueTrueotherwhatsapp<NA>NaN<NA>[whatsapp gb apk, whatsapp gb, whatsapp gb bai...NaNNaNNaN0NaN2020-10-07 10:37:12.237000+00:002020-10-08 02:32:03.935000+00:000000FalseNaNNaN[otherwhatsapp.com, im-creator.com, facebook.c...<NA>27<NA>4<NA><NA>
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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "9887272 0000-0001-6997-9470 True True \n", "\n", " given_names family_name biography other_names primary_email \\\n", "9887272 other whatsapp NaN \n", "\n", " keywords external_ids \\\n", "9887272 [whatsapp gb apk, whatsapp gb, whatsapp gb bai... NaN \n", "\n", " education employment n_works works_source \\\n", "9887272 NaN NaN 0 NaN \n", "\n", " activation_date last_update_date \\\n", "9887272 2020-10-07 10:37:12.237000+00:00 2020-10-08 02:32:03.935000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "9887272 0 0 0 0 False NaN \n", "\n", " other_email_domains \\\n", "9887272 NaN \n", "\n", " url_domains n_emails n_urls \\\n", "9887272 [otherwhatsapp.com, im-creator.com, facebook.c... 27 \n", "\n", " n_ids n_keywords n_education n_employment \n", "9887272 4 " ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df['orcid'] == FAKE_HEAP['whatsapp']]" ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "orcid 10989649\n", "verified_email 10989649\n", "verified_primary_email 10989649\n", "given_names 10959039\n", "family_name 10671715\n", "biography 354015\n", "other_names 554684\n", "primary_email 124722\n", "keywords 649637\n", "external_ids 1308598\n", "education 2441645\n", "employment 2680488\n", "n_works 10989649\n", "works_source 2740939\n", "activation_date 10989649\n", "last_update_date 10989649\n", "n_doi 10989649\n", "n_arxiv 10989649\n", "n_pmc 10989649\n", "n_other_pids 10989649\n", "label 10989649\n", "primary_email_domain 124722\n", "other_email_domains 48615\n", "url_domains 715067\n", "n_emails 48615\n", "n_urls 715067\n", "n_ids 1308598\n", "n_keywords 649637\n", "n_education 2441645\n", "n_employment 2680488\n", "dtype: int64" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.count()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 10989649\n", "unique 10989649\n", "top 0000-0003-4717-4481\n", "freq 1\n", "Name: orcid, dtype: object" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['orcid'].describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Primary email" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 124722\n", "unique 124718\n", "top opercin@erbakan.edu.tr\n", "freq 2\n", "Name: primary_email, dtype: object" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['primary_email'].describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Dupe emails" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "1681787 opercin@erbakan.edu.tr\n", "5590332 patrick.davey@monash.edu\n", "9316843 maykin@owasp.org\n", "10375852 andycheng2026@163.com\n", "Name: primary_email, dtype: string" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['primary_email'].dropna().loc[df['primary_email'].duplicated()]" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcid
primary_email_domain
gmail.com26750
hotmail.com3801
yahoo.com2625
163.com2132
yuhs.ac1134
......
imf.csic.es1
imf.org1
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imft.fr1
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17160 rows × 1 columns

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" ], "text/plain": [ " orcid\n", "primary_email_domain \n", "gmail.com 26750\n", "hotmail.com 3801\n", "yahoo.com 2625\n", "163.com 2132\n", "yuhs.ac 1134\n", "... ...\n", "imf.csic.es 1\n", "imf.org 1\n", "imfd.tu-freiberg.de 1\n", "imft.fr 1\n", "zzuli.edu.cn 1\n", "\n", "[17160 rows x 1 columns]" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "top_primary_emails = df[['primary_email_domain', 'orcid']]\\\n", " .groupby('primary_email_domain')\\\n", " .count()\\\n", " .sort_values('orcid', ascending=False)\n", "top_primary_emails" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "type": "bar", "x": [ "gmail.com", "hotmail.com", "yahoo.com", "163.com", "yuhs.ac", "qq.com", "outlook.com", "126.com", "bu.edu", "usgs.gov", "mail.ru", "usp.br", 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"linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Top-30 email domains" }, "xaxis": { "range": [ -0.5, 29.5 ], "tickangle": 45, "tickfont": { "size": 12 } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(30)\n", "data = [\n", " go.Bar(\n", " x=top_primary_emails[:TOP_N].index,\n", " y=top_primary_emails[:TOP_N]['orcid']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Top-%s email domains' % TOP_N,\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Other emails" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
2510000-0002-5916-446XTrueTrueantonio gilvanteixeira júnior<NA>[teixeira, antônio gilvan, júnior, antonio gil...gilvan.junior@aluno.ufca.edu.br[ethicis; medicine; infectology; neurology; ne...[[scopus author id, 56647743200], [scopus auth...[[faculty of health and life sciences, , unive...NaN14[antonio gilvan teixeira júnior, scopus - else...2016-05-18 11:26:36.642000+00:002016-09-20 18:25:05.728000+00:0013008Falsealuno.ufca.edu.br[liverpool.ac.uk][researchgate.net, academia.edu, cnpq.br]13411<NA>
3160000-0002-8742-947XTrueTrueaarontan shing loong<NA>NaNaaron.tanshingloong@wadh.ox.ac.ukNaNNaN[[ruskin school of art; wadham college, , univ...NaN0NaN2015-10-05 23:10:08.771000+00:002016-06-14 19:55:50.313000+00:000000Falsewadh.ox.ac.uk[rsa.ox.ac.uk]NaN1<NA><NA><NA>1<NA>
4330000-0001-9097-2281TrueTrueabhisheksolanki<NA>NaN<NA>NaNNaNNaN[[senior engineer, robert bosch (india), benga...1[abhishek solanki]2019-04-22 04:43:06.232000+00:002020-07-02 14:18:28.305000+00:000000FalseNaN[in.bosch.com][github.com, linkedin.com]12<NA><NA><NA>2
4970000-0002-8614-3007TrueTrueadamarra<NA>NaN<NA>NaNNaNNaNNaN0NaN2017-11-15 06:33:45.625000+00:002017-11-15 06:44:02.998000+00:000000FalseNaN[hct.ac.ae]NaN1<NA><NA><NA><NA><NA>
8690000-0001-9884-5498TrueTruealbertoronzani<NA>NaNalberto@aronza.comNaNNaNNaN[[research scientist, vtt technical research c...19[crossref metadata search, alberto ronzani, cr...2014-04-16 13:21:54.287000+00:002020-09-28 15:10:37.439000+00:0018003Truearonza.com[vtt.fi]NaN1<NA><NA><NA><NA>1
\n", "
" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "251 0000-0002-5916-446X True True \n", "316 0000-0002-8742-947X True True \n", "433 0000-0001-9097-2281 True True \n", "497 0000-0002-8614-3007 True True \n", "869 0000-0001-9884-5498 True True \n", "\n", " given_names family_name biography \\\n", "251 antonio gilvan teixeira júnior \n", "316 aaron tan shing loong \n", "433 abhishek solanki \n", "497 adam arra \n", "869 alberto ronzani \n", "\n", " other_names \\\n", "251 [teixeira, antônio gilvan, júnior, antonio gil... \n", "316 NaN \n", "433 NaN \n", "497 NaN \n", "869 NaN \n", "\n", " primary_email \\\n", "251 gilvan.junior@aluno.ufca.edu.br \n", "316 aaron.tanshingloong@wadh.ox.ac.uk \n", "433 \n", "497 \n", "869 alberto@aronza.com \n", "\n", " keywords \\\n", "251 [ethicis; medicine; infectology; neurology; ne... \n", "316 NaN \n", "433 NaN \n", "497 NaN \n", "869 NaN \n", "\n", " external_ids \\\n", "251 [[scopus author id, 56647743200], [scopus auth... \n", "316 NaN \n", "433 NaN \n", "497 NaN \n", "869 NaN \n", "\n", " education \\\n", "251 [[faculty of health and life sciences, , unive... \n", "316 [[ruskin school of art; wadham college, , univ... \n", "433 NaN \n", "497 NaN \n", "869 NaN \n", "\n", " employment n_works \\\n", "251 NaN 14 \n", "316 NaN 0 \n", "433 [[senior engineer, robert bosch (india), benga... 1 \n", "497 NaN 0 \n", "869 [[research scientist, vtt technical research c... 19 \n", "\n", " works_source \\\n", "251 [antonio gilvan teixeira júnior, scopus - else... \n", "316 NaN \n", "433 [abhishek solanki] \n", "497 NaN \n", "869 [crossref metadata search, alberto ronzani, cr... \n", "\n", " activation_date last_update_date n_doi \\\n", "251 2016-05-18 11:26:36.642000+00:00 2016-09-20 18:25:05.728000+00:00 13 \n", "316 2015-10-05 23:10:08.771000+00:00 2016-06-14 19:55:50.313000+00:00 0 \n", "433 2019-04-22 04:43:06.232000+00:00 2020-07-02 14:18:28.305000+00:00 0 \n", "497 2017-11-15 06:33:45.625000+00:00 2017-11-15 06:44:02.998000+00:00 0 \n", "869 2014-04-16 13:21:54.287000+00:00 2020-09-28 15:10:37.439000+00:00 18 \n", "\n", " n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "251 0 0 8 False aluno.ufca.edu.br \n", "316 0 0 0 False wadh.ox.ac.uk \n", "433 0 0 0 False NaN \n", "497 0 0 0 False NaN \n", "869 0 0 3 True aronza.com \n", "\n", " other_email_domains url_domains n_emails \\\n", "251 [liverpool.ac.uk] [researchgate.net, academia.edu, cnpq.br] 1 \n", "316 [rsa.ox.ac.uk] NaN 1 \n", "433 [in.bosch.com] [github.com, linkedin.com] 1 \n", "497 [hct.ac.ae] NaN 1 \n", "869 [vtt.fi] NaN 1 \n", "\n", " n_urls n_ids n_keywords n_education n_employment \n", "251 3 4 1 1 \n", "316 1 \n", "433 2 2 \n", "497 \n", "869 1 " ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.other_email_domains.notna()].head()" ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "emails_by_orcid = df[['orcid', 'n_emails']].sort_values('n_emails', ascending=False)" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "type": "bar", "x": [ "0000-0003-4171-3835", "0000-0001-6239-2968", "0000-0003-2151-4089", "0000-0003-2290-2817", "0000-0001-9084-3156", "0000-0001-6349-1044", "0000-0002-2085-1908", "0000-0003-4147-212X", "0000-0002-9599-6909", "0000-0001-9311-0687", "0000-0003-1502-3910", "0000-0002-9821-8424", "0000-0003-4327-6827", "0000-0002-1929-6054", "0000-0002-8390-8238", "0000-0002-1615-8633", "0000-0003-0671-1543", "0000-0003-4499-7300", "0000-0002-5341-6531", "0000-0002-8565-194X", "0000-0002-0776-9547", "0000-0001-8420-9204", "0000-0002-7396-1561", "0000-0002-3165-132X", "0000-0002-2567-3741", "0000-0003-2657-8225", "0000-0003-4685-5621", "0000-0001-5548-8259", "0000-0003-0391-3430", 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"backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Top 30 ORCID iDs by email" }, "xaxis": { "range": [ -0.5, 29.5 ], "tickangle": 45, "tickfont": { "size": 12 } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(30)\n", "data = [\n", " go.Bar(\n", " x=emails_by_orcid[:TOP_N]['orcid'],\n", " y=emails_by_orcid[:TOP_N]['n_emails']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Top %s ORCID iDs by email' % TOP_N, \n", " xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "top_other_emails = df[['orcid', 'other_email_domains']]\\\n", " .explode('other_email_domains')\\\n", " .reset_index(drop=True)\\\n", " .groupby('other_email_domains')\\\n", " .count()\\\n", " .sort_values('orcid', ascending=False)" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", 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"hovermode": "closest", "mapbox": { "style": "light" }, "paper_bgcolor": "white", "plot_bgcolor": "#E5ECF6", "polar": { "angularaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Top 30 other email domains" }, "xaxis": { "range": [ -0.5, 29.5 ], "tickangle": 45, "tickfont": { "size": 12 } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(30)\n", "data = [\n", " go.Bar(\n", " x=top_other_emails[:TOP_N].index,\n", " y=top_other_emails[:TOP_N]['orcid']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Top %s other email domains' % TOP_N, \n", " xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This somehow makes sense, legitimate users could put the gmail account as primary for login purposes and have institutional addresses as other email addresses. It makes also the life easier upon relocation." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Email speculation" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
4330000-0001-9097-2281TrueTrueabhisheksolanki<NA>NaN<NA>NaNNaNNaN[[senior engineer, robert bosch (india), benga...1[abhishek solanki]2019-04-22 04:43:06.232000+00:002020-07-02 14:18:28.305000+00:000000FalseNaN[in.bosch.com][github.com, linkedin.com]12<NA><NA><NA>2
4970000-0002-8614-3007TrueTrueadamarra<NA>NaN<NA>NaNNaNNaNNaN0NaN2017-11-15 06:33:45.625000+00:002017-11-15 06:44:02.998000+00:000000FalseNaN[hct.ac.ae]NaN1<NA><NA><NA><NA><NA>
8980000-0003-3728-6439TrueTruealejandraecheverry velásquezalejandra echeverry is an industrial electrici...NaN<NA>[control, science, technology, innovation, ren...NaN[[, electrical engineer, institución universit...[[professor, institución universitaria pascual...1[crossref]2019-03-31 00:00:42.929000+00:002020-09-06 02:18:54.290000+00:001000TrueNaN[pascualbravo.edu.co]NaN1<NA><NA>711
17190000-0001-8330-7443TrueTrueandreatesoniero<NA>NaN<NA>NaN[[researcherid, d-9056-2015]][[department of geophysics, master of science ...[[postdoctoral associate, yale university, new...4[andrea tesoniero]2015-03-09 11:59:06.093000+00:002020-08-20 15:03:23.447000+00:004002FalseNaN[yale.edu]NaN1<NA>1<NA>42
68290000-0001-9670-515XTrueTrueesma esinyildirim<NA>NaN<NA>[natural chemistry, pharmacognosy, chemical en...NaN[[business management, master of science, ista...NaN0NaN2020-07-26 10:38:03.721000+00:002020-07-26 10:52:26.539000+00:000000FalseNaN[gmail.com]NaN1<NA><NA>33<NA>
.............................................................................................
109858160000-0003-1204-6009TrueTruenathanwalk<NA>NaN<NA>NaNNaN[[department of physics, doctor of philosophy,...[[, university of oxford, oxford, oxfordshire,...10[crossref metadata search]2016-07-28 14:24:16.844000+00:002020-10-13 11:47:50.621000+00:0010000TrueNaN[cs.ox.ac.uk][fu-berlin.de]11<NA><NA>32
109860270000-0002-3472-7668TrueTruerafvandevelde<NA>NaN<NA>NaNNaN[[chemical engineering technology, master, kat...[[phd researcher, katholieke universiteit leuv...0NaN2020-10-14 13:56:44.779000+00:002020-10-16 14:21:40.673000+00:000000FalseNaN[kuleuven.be][linkedin.com]11<NA><NA>21
109875010000-0002-9602-0529TrueTruecarlos augustofinelli<NA>NaN<NA>NaNNaNNaNNaN1[crossref]2013-09-16 16:52:06.120000+00:002020-12-01 22:47:08.074000+00:001000TrueNaN[cecot.com.br]NaN1<NA><NA><NA><NA><NA>
109878290000-0003-4402-5982TrueTruefilipede almeida araújo<NA>NaN<NA>NaNNaN[[materials science, msc. materials science, m...[[co-owner, aeft acessory, manaus, amazonas, b...0NaN2020-03-02 20:11:01.699000+00:002020-12-04 13:53:39.404000+00:000000FalseNaN[ime.eb.br]NaN1<NA><NA><NA>21
109884440000-0002-1734-7241TrueTruemanareldeenahmed<NA>NaN<NA>[atomistic simulation, ai chips, graphene, dee...NaNNaN[[post-doctor, zhejiang university, hangzhou, ...6[manareldeen ahmed]2017-02-17 13:18:36.540000+00:002020-12-04 02:04:36.668000+00:006003TrueNaN[hotmail.com]NaN1<NA><NA>5<NA>1
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19814 rows × 30 columns

\n", "
" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "433 0000-0001-9097-2281 True True \n", "497 0000-0002-8614-3007 True True \n", "898 0000-0003-3728-6439 True True \n", "1719 0000-0001-8330-7443 True True \n", "6829 0000-0001-9670-515X True True \n", "... ... ... ... \n", "10985816 0000-0003-1204-6009 True True \n", "10986027 0000-0002-3472-7668 True True \n", "10987501 0000-0002-9602-0529 True True \n", "10987829 0000-0003-4402-5982 True True \n", "10988444 0000-0002-1734-7241 True True \n", "\n", " given_names family_name \\\n", "433 abhishek solanki \n", "497 adam arra \n", "898 alejandra echeverry velásquez \n", "1719 andrea tesoniero \n", "6829 esma esin yildirim \n", "... ... ... \n", "10985816 nathan walk \n", "10986027 raf vandevelde \n", "10987501 carlos augusto finelli \n", "10987829 filipe de almeida araújo \n", "10988444 manareldeen ahmed \n", "\n", " biography other_names \\\n", "433 NaN \n", "497 NaN \n", "898 alejandra echeverry is an industrial electrici... NaN \n", "1719 NaN \n", "6829 NaN \n", "... ... ... \n", "10985816 NaN \n", "10986027 NaN \n", "10987501 NaN \n", "10987829 NaN \n", "10988444 NaN \n", "\n", " primary_email keywords \\\n", "433 NaN \n", "497 NaN \n", "898 [control, science, technology, innovation, ren... \n", "1719 NaN \n", "6829 [natural chemistry, pharmacognosy, chemical en... \n", "... ... ... \n", "10985816 NaN \n", "10986027 NaN \n", "10987501 NaN \n", "10987829 NaN \n", "10988444 [atomistic simulation, ai chips, graphene, dee... \n", "\n", " external_ids \\\n", "433 NaN \n", "497 NaN \n", "898 NaN \n", "1719 [[researcherid, d-9056-2015]] \n", "6829 NaN \n", "... ... \n", "10985816 NaN \n", "10986027 NaN \n", "10987501 NaN \n", "10987829 NaN \n", "10988444 NaN \n", "\n", " education \\\n", "433 NaN \n", "497 NaN \n", "898 [[, electrical engineer, institución universit... \n", "1719 [[department of geophysics, master of science ... \n", "6829 [[business management, master of science, ista... \n", "... ... \n", "10985816 [[department of physics, doctor of philosophy,... \n", "10986027 [[chemical engineering technology, master, kat... \n", "10987501 NaN \n", "10987829 [[materials science, msc. materials science, m... \n", "10988444 NaN \n", "\n", " employment n_works \\\n", "433 [[senior engineer, robert bosch (india), benga... 1 \n", "497 NaN 0 \n", "898 [[professor, institución universitaria pascual... 1 \n", "1719 [[postdoctoral associate, yale university, new... 4 \n", "6829 NaN 0 \n", "... ... ... \n", "10985816 [[, university of oxford, oxford, oxfordshire,... 10 \n", "10986027 [[phd researcher, katholieke universiteit leuv... 0 \n", "10987501 NaN 1 \n", "10987829 [[co-owner, aeft acessory, manaus, amazonas, b... 0 \n", "10988444 [[post-doctor, zhejiang university, hangzhou, ... 6 \n", "\n", " works_source activation_date \\\n", "433 [abhishek solanki] 2019-04-22 04:43:06.232000+00:00 \n", "497 NaN 2017-11-15 06:33:45.625000+00:00 \n", "898 [crossref] 2019-03-31 00:00:42.929000+00:00 \n", "1719 [andrea tesoniero] 2015-03-09 11:59:06.093000+00:00 \n", "6829 NaN 2020-07-26 10:38:03.721000+00:00 \n", "... ... ... \n", "10985816 [crossref metadata search] 2016-07-28 14:24:16.844000+00:00 \n", "10986027 NaN 2020-10-14 13:56:44.779000+00:00 \n", "10987501 [crossref] 2013-09-16 16:52:06.120000+00:00 \n", "10987829 NaN 2020-03-02 20:11:01.699000+00:00 \n", "10988444 [manareldeen ahmed] 2017-02-17 13:18:36.540000+00:00 \n", "\n", " last_update_date n_doi n_arxiv n_pmc \\\n", "433 2020-07-02 14:18:28.305000+00:00 0 0 0 \n", "497 2017-11-15 06:44:02.998000+00:00 0 0 0 \n", "898 2020-09-06 02:18:54.290000+00:00 1 0 0 \n", "1719 2020-08-20 15:03:23.447000+00:00 4 0 0 \n", "6829 2020-07-26 10:52:26.539000+00:00 0 0 0 \n", "... ... ... ... ... \n", "10985816 2020-10-13 11:47:50.621000+00:00 10 0 0 \n", "10986027 2020-10-16 14:21:40.673000+00:00 0 0 0 \n", "10987501 2020-12-01 22:47:08.074000+00:00 1 0 0 \n", "10987829 2020-12-04 13:53:39.404000+00:00 0 0 0 \n", "10988444 2020-12-04 02:04:36.668000+00:00 6 0 0 \n", "\n", " n_other_pids label primary_email_domain other_email_domains \\\n", "433 0 False NaN [in.bosch.com] \n", "497 0 False NaN [hct.ac.ae] \n", "898 0 True NaN [pascualbravo.edu.co] \n", "1719 2 False NaN [yale.edu] \n", "6829 0 False NaN [gmail.com] \n", "... ... ... ... ... \n", "10985816 0 True NaN [cs.ox.ac.uk] \n", "10986027 0 False NaN [kuleuven.be] \n", "10987501 0 True NaN [cecot.com.br] \n", "10987829 0 False NaN [ime.eb.br] \n", "10988444 3 True NaN [hotmail.com] \n", "\n", " url_domains n_emails n_urls n_ids n_keywords \\\n", "433 [github.com, linkedin.com] 1 2 \n", "497 NaN 1 \n", "898 NaN 1 7 \n", "1719 NaN 1 1 \n", "6829 NaN 1 3 \n", "... ... ... ... ... ... \n", "10985816 [fu-berlin.de] 1 1 \n", "10986027 [linkedin.com] 1 1 \n", "10987501 NaN 1 \n", "10987829 NaN 1 \n", "10988444 NaN 1 5 \n", "\n", " n_education n_employment \n", "433 2 \n", "497 \n", "898 1 1 \n", "1719 4 2 \n", "6829 3 \n", "... ... ... \n", "10985816 3 2 \n", "10986027 2 1 \n", "10987501 \n", "10987829 2 1 \n", "10988444 1 \n", "\n", "[19814 rows x 30 columns]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.primary_email.isna() & df.other_email_domains.notna()]" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## URLs" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 715067.000000\n", "mean 1.434629\n", "std 1.429160\n", "min 1.000000\n", "25% 1.000000\n", "50% 1.000000\n", "75% 1.000000\n", "max 219.000000\n", "Name: n_urls, dtype: float64" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.n_urls.describe()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, 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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
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110000-0001-8377-3508TrueTrue<NA><NA><NA>[fontana, milena da silva]<NA>[educação; informática; matemática.]NaNNaN[[, instituto federal de educação, ciência e t...0NaN2018-05-23 23:39:04.534000+00:002019-10-16 02:50:11.007000+00:000000FalseNaNNaN[cnpq.br]<NA>1<NA>1<NA>3
290000-0002-2638-4108TrueTrue<NA><NA>investigador de la universidad de oviedo. depa...NaN<NA>[history of political thought, constitutional ...[[scopus author id, 54394231000]][[public law, ph doctor, university of oviedo,...[[professor of constitutional law, university ...1[crossref]2013-03-25 14:38:06.016000+00:002020-07-01 13:10:37.025000+00:001000FalseNaNNaN[unioviedo.es]<NA>11311
460000-0003-1435-6545TrueTrue<NA><NA><NA>NaN<NA>[migration, culture cell, prostate cancer][[researcherid, p-2223-2018]][[morfologia, , universidade estadual paulista...[[, universidade estadual paulista (unesp), in...0NaN2018-08-09 12:12:24.405000+00:002020-04-22 01:38:03.184000+00:000000FalseNaNNaN[cnpq.br, linkedin.com]<NA>21311
1580000-0003-1284-9741TrueTruealex percy antoniomanriquez paisig<NA>NaN<NA>NaNNaNNaNNaN0NaN2020-09-08 20:04:33.906000+00:002020-09-08 20:25:55.432000+00:000000FalseNaNNaN[youtube.com]<NA>1<NA><NA><NA><NA>
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orcidn_urls
32265180000-0002-1234-835X219
42060550000-0001-7478-4539174
49018700000-0002-7392-3792169
81842600000-0002-6938-9638152
27436480000-0002-5710-4041114
.........
109896440000-0002-1686-1935<NA>
109896450000-0002-3800-6331<NA>
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109896470000-0002-7584-2283<NA>
109896480000-0003-0529-3538<NA>
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10989649 rows × 2 columns

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" ], "text/plain": [ " orcid n_urls\n", "3226518 0000-0002-1234-835X 219\n", "4206055 0000-0001-7478-4539 174\n", "4901870 0000-0002-7392-3792 169\n", "8184260 0000-0002-6938-9638 152\n", "2743648 0000-0002-5710-4041 114\n", "... ... ...\n", "10989644 0000-0002-1686-1935 \n", "10989645 0000-0002-3800-6331 \n", "10989646 0000-0002-8783-5814 \n", "10989647 0000-0002-7584-2283 \n", "10989648 0000-0003-0529-3538 \n", "\n", "[10989649 rows x 2 columns]" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "urls_by_orcid = df[['orcid', 'n_urls']].sort_values('n_urls', ascending=False)\n", "urls_by_orcid" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The first three are fake, the fourth isn't. No assumption can be taken." ] }, { "cell_type": "code", "execution_count": 28, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "type": "bar", "x": [ "0000-0002-1234-835X", "0000-0001-7478-4539", "0000-0002-7392-3792", "0000-0002-6938-9638", "0000-0002-5710-4041", "0000-0003-2450-090X", "0000-0002-3920-7389", "0000-0002-6689-4129", "0000-0001-5384-0001", "0000-0002-4621-5571", "0000-0001-9131-1266", "0000-0002-7754-8889", "0000-0002-5250-1144", "0000-0002-9025-8632", "0000-0002-7456-3848", "0000-0003-0176-1293", "0000-0003-0321-7339", "0000-0002-8493-0402", "0000-0002-9965-2425", "0000-0001-8873-6677", "0000-0002-3997-5070", "0000-0002-1856-6905", "0000-0002-4316-1467", "0000-0002-4062-3603", "0000-0003-0594-2462", "0000-0001-5880-7091", "0000-0003-1524-6268", "0000-0002-0752-7513", "0000-0003-2593-7134", "0000-0002-1298-5252", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(50)\n", "data = [\n", " go.Bar(\n", " x=top_urls[:TOP_N].index,\n", " y=top_urls[:TOP_N]['orcid']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Top-%s URL domains' % TOP_N,\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Malformed URLs are left empty" ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [], "source": [ "exploded_url_domains = df[['orcid', 'url_domains']].explode('url_domains')" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "orcid 71\n", "url_domains 71\n", "dtype: int64" ] }, "execution_count": 32, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exploded_url_domains[exploded_url_domains.url_domains == ''].count()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## URLs speculation" ] }, { "cell_type": "code", "execution_count": 33, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
10257130000-0003-2407-3557TrueTrueabdulazizabdul aziz was born on may 25, 1973, in brebes...[abdul aziz, aziz, abdul, aziz, a., aziz, abd,...<NA>[ilmu ekonomi, ekonomi islam, etika bisnis isl...NaN[[ilmu ekonomi, dr, universitas borobudur, jak...[[assisten professor/dr, institut agama islam ...72[base - bielefeld academic search engine, abdu...2016-09-12 04:41:24.842000+00:002021-01-26 11:58:33.039000+00:00190077FalseNaNNaN[google.com, syekhnurjati.ac.id, orcid.org, bl...<NA>59<NA>431
27436480000-0002-5710-4041TrueTrueryszardromaniukprofessor of electronics and communications en...[r.romaniuk, r.s.romaniuk, ryszard romaniuk, r...rrom@ise.pw.edu.pl[research systems, measurement systems, photon...[[isni, 0000000071432485], [researcherid, b-91...[[faculty of electronics and information techn...[[professor, institute director, politechnika ...5008[inspire-hep, researcherid, isni2orcid search ...2013-01-20 12:09:21.600000+00:002021-03-16 19:37:31.650000+00:0012212501742Trueise.pw.edu.pl[ise.pw.edu.pl, elka.pw.edu.pl, cern.ch][google.pl, publons.com, scopus.com, mendeley....31143511
30117240000-0003-2450-090XTrueTrueeduardbabulakprofessor eduard babulak is accomplished inter...[professor eduard babulak]<NA>[internet of things, next generation of ict an...[[scopus author id, 6506867432], [researcherid...[[information technology, doctor habilitated (...[[consultant, horizon 2020 framework programme...274[the lens, base - bielefeld academic search en...2013-04-03 08:02:30.013000+00:002021-02-28 10:07:13.231000+00:0019901174FalseNaNNaN[worldassessmentcouncil.org, spseke.sk, bcs.or...<NA>11458622
38810640000-0002-3920-7389TrueTrueа.гусевsurname, name gusev alexander leonidovichdate...[alexander l. gusev , alexander leonidovich gu...<NA>[nanomaterials and nanocomposites, supercapaci...[[researcherid, f-8048-2014], [scopus author i...[[chemical technology and cryogenic-vacuum tec...[[general director, scientific technical centr...472[publons, datacite, scopus - elsevier, a.l. gu...2014-05-14 00:01:28.030000+00:002021-01-16 13:44:14.134000+00:00370021FalseNaNNaN[youtube.com, isjaee.com, researchgate.net, re...<NA>11121627
74660620000-0002-1929-6054TrueTruefranklin américocanaza choquedocente-investigador social. maestrando en der...[franklin américo canaza-choque , franklin a. ...leo_123fa@hotmail.com[filosofía; educación; políticas de desarrollo...[[researcherid, p-8613-2018], [loop profile, 8...[[facultad de ciencias de la educación , maest...[[investigador social, universidad católica de...39[researcherid, base - bielefeld academic searc...2017-09-15 19:45:43.483000+00:002021-03-23 20:12:47.297000+00:00300034Truehotmail.com[gmail.com, gmail.com, hotmail.com, baldwin.ed...[concytec.gob.pe, redalyc.org, redalyc.org, un...5614211
75170960000-0003-4948-9268TrueTruegustavoduperrégustavo norberto duperré graduated in arts and...[gustavo norberto duperré, duperré, g. n., gus...gustavo.duperre@usal.edu.ar[sciences of antiquity, cultural heritage, ear...[[scopus author id, 57195936346], [researcheri...[[programme in history, history of art and ter...[[titular professor, dirección general de cult...41[gustavo duperré, scopus - elsevier, publons, ...2020-02-22 15:49:52.386000+00:002021-03-12 15:13:44.065000+00:00130034Falseusal.edu.arNaN[icomos.ro, unirioja.es, unirioja.es, unc.edu....<NA>6121165
80682750000-0003-2183-8112TrueTruepelayo munhozoleapós-doutorado em gestão ambiental pela univers...[ munhoz, pelayo olea, olea, pelayo, olea, p...<NA>[inovação, sustentabilidade, empreendedorismo][[scopus author id, 55175503300], [researcheri...[[, postdoctoral in environmental sustainabili...[[professor, universidade federal do rio grand...1109[the lens, pelayo munhoz olea, dimensions, bas...2013-02-04 17:25:34.723000+00:002021-03-19 18:51:01.128000+00:0079801582TrueNaNNaN[cnpq.br, cnpq.br, cnpq.br, cnpq.br, publons.c...<NA>612379
81842600000-0002-6938-9638TrueTrueadolfocatral sanabriamy education is in computer science, mathemati...NaN<NA>NaN[[loop profile, 747193]][[education, capacitación para la enseñanza en...NaN2023[base - bielefeld academic search engine, data...2019-05-07 19:27:02.210000+00:002020-12-10 23:39:15.236000+00:0020220016FalseNaNNaN[researchgate.net, youtube.com, linkedin.com, ...<NA>1521<NA>6<NA>
87912560000-0002-9025-8632TrueTruebuycannabisdispensarywe procure and deliver premium cannabis strain...[we procure and deliver premium cannabis strai...<NA>[marijuana, canabis dispensary, marijuana stoc...NaNNaNNaN10[goowonderland dispensary]2020-12-09 21:19:46.004000+00:002020-12-10 01:17:28.772000+00:000000FalseNaNNaN[goowonderland.com, goowonderland.com, goowond...<NA>81<NA>7<NA><NA>
101745090000-0002-9965-2425TrueTruejaroslawspychalajaroslaw spychala has received a doctoral degr...[jaroslaw jozef spychala]<NA>[organic chemistry, medicinal and pharmaceutic...[[scopus author id, 7006745874]][[department of chemistry, postdoctoral associ...[[assistant professor, adam mickiewicz univers...29[scopus - elsevier]2014-09-18 12:34:14.242000+00:002020-02-11 14:31:25.544000+00:00150029TrueNaNNaN[biowebspin.com, biowebspin.com, google.com, l...<NA>731442
102578080000-0002-4062-3603TrueTruejuan de diosbeltrán mancillajuan de dios beltrán mancilla (*) filósofo aut...[juan de dios beltrán mancilla, filósofo autod...<NA>[filosofia medicina arquitectura economía dere...NaN[[, diplomado en practicas directivas para or...[[inspector general jornada vespertina // de 2...11[juan de dios beltr´´án mancilla]2020-04-19 21:06:33.495000+00:002021-02-10 20:13:07.698000+00:000007FalseNaNNaN[yumpu.com, ijopm.org, google.com, blogspot.co...<NA>69<NA>186
104862120000-0002-3997-5070TrueTruedr. parameshacharib ddr. parameshachari b dacm distinguished speake...[dr. parameshachari b d]<NA>[honorary secretary| iete mysuru centre, profe...[[researcherid, f-7045-2018], [scopus author i...[[electronics and communication engineering, p...[[acm distinguished speaker (volunteer), assoc...93[publons, multidisciplinary digital publishing...2016-08-24 11:00:30.403000+00:002021-03-23 07:16:22.582000+00:00470048FalseNaNNaN[geethashishu.in, geethashishu.in, acm.org, go...<NA>7136510
106526320000-0003-2593-7134TrueTrueaanjaelaniall my papers can be downloaded from portal:re...[jaelani, a., jaelani, aan]aan_jaelani@syekhnurjati.ac.id[tourism industry, public finance & budgeting,...[[scopus author id, 57195963463], [loop profil...[[post graduate, s3/dr, universitas islam nege...[[dr, institut agama islam negeri syekh nurjat...79[publons, aan jaelani, scopus - elsevier, dime...2016-03-02 18:37:44.989000+00:002021-03-19 10:11:57.908000+00:008800193Truesyekhnurjati.ac.id[gmail.com][microsoft.com, twitter.com, academia.edu, aca...1674721
\n", "
" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "1025713 0000-0003-2407-3557 True True \n", "2743648 0000-0002-5710-4041 True True \n", "3011724 0000-0003-2450-090X True True \n", "3881064 0000-0002-3920-7389 True True \n", "7466062 0000-0002-1929-6054 True True \n", "7517096 0000-0003-4948-9268 True True \n", "8068275 0000-0003-2183-8112 True True \n", "8184260 0000-0002-6938-9638 True True \n", "8791256 0000-0002-9025-8632 True True \n", "10174509 0000-0002-9965-2425 True True \n", "10257808 0000-0002-4062-3603 True True \n", "10486212 0000-0002-3997-5070 True True \n", "10652632 0000-0003-2593-7134 True True \n", "\n", " given_names family_name \\\n", "1025713 abdul aziz \n", "2743648 ryszard romaniuk \n", "3011724 eduard babulak \n", "3881064 а. гусев \n", "7466062 franklin américo canaza choque \n", "7517096 gustavo duperré \n", "8068275 pelayo munhoz olea \n", "8184260 adolfo catral sanabria \n", "8791256 buycannabis dispensary \n", "10174509 jaroslaw spychala \n", "10257808 juan de dios beltrán mancilla \n", "10486212 dr. parameshachari b d \n", "10652632 aan jaelani \n", "\n", " biography \\\n", "1025713 abdul aziz was born on may 25, 1973, in brebes... \n", "2743648 professor of electronics and communications en... \n", "3011724 professor eduard babulak is accomplished inter... \n", "3881064 surname, name gusev alexander leonidovichdate... \n", "7466062 docente-investigador social. maestrando en der... \n", "7517096 gustavo norberto duperré graduated in arts and... \n", "8068275 pós-doutorado em gestão ambiental pela univers... \n", "8184260 my education is in computer science, mathemati... \n", "8791256 we procure and deliver premium cannabis strain... \n", "10174509 jaroslaw spychala has received a doctoral degr... \n", "10257808 juan de dios beltrán mancilla (*) filósofo aut... \n", "10486212 dr. parameshachari b dacm distinguished speake... \n", "10652632 all my papers can be downloaded from portal:re... \n", "\n", " other_names \\\n", "1025713 [abdul aziz, aziz, abdul, aziz, a., aziz, abd,... \n", "2743648 [r.romaniuk, r.s.romaniuk, ryszard romaniuk, r... \n", "3011724 [professor eduard babulak] \n", "3881064 [alexander l. gusev , alexander leonidovich gu... \n", "7466062 [franklin américo canaza-choque , franklin a. ... \n", "7517096 [gustavo norberto duperré, duperré, g. n., gus... \n", "8068275 [ munhoz, pelayo olea, olea, pelayo, olea, p... \n", "8184260 NaN \n", "8791256 [we procure and deliver premium cannabis strai... \n", "10174509 [jaroslaw jozef spychala] \n", "10257808 [juan de dios beltrán mancilla, filósofo autod... \n", "10486212 [dr. parameshachari b d] \n", "10652632 [jaelani, a., jaelani, aan] \n", "\n", " primary_email \\\n", "1025713 \n", "2743648 rrom@ise.pw.edu.pl \n", "3011724 \n", "3881064 \n", "7466062 leo_123fa@hotmail.com \n", "7517096 gustavo.duperre@usal.edu.ar \n", "8068275 \n", "8184260 \n", "8791256 \n", "10174509 \n", "10257808 \n", "10486212 \n", "10652632 aan_jaelani@syekhnurjati.ac.id \n", "\n", " keywords \\\n", "1025713 [ilmu ekonomi, ekonomi islam, etika bisnis isl... \n", "2743648 [research systems, measurement systems, photon... \n", "3011724 [internet of things, next generation of ict an... \n", "3881064 [nanomaterials and nanocomposites, supercapaci... \n", "7466062 [filosofía; educación; políticas de desarrollo... \n", "7517096 [sciences of antiquity, cultural heritage, ear... \n", "8068275 [inovação, sustentabilidade, empreendedorismo] \n", "8184260 NaN \n", "8791256 [marijuana, canabis dispensary, marijuana stoc... \n", "10174509 [organic chemistry, medicinal and pharmaceutic... \n", "10257808 [filosofia medicina arquitectura economía dere... \n", "10486212 [honorary secretary| iete mysuru centre, profe... \n", "10652632 [tourism industry, public finance & budgeting,... \n", "\n", " external_ids \\\n", "1025713 NaN \n", "2743648 [[isni, 0000000071432485], [researcherid, b-91... \n", "3011724 [[scopus author id, 6506867432], [researcherid... \n", "3881064 [[researcherid, f-8048-2014], [scopus author i... \n", "7466062 [[researcherid, p-8613-2018], [loop profile, 8... \n", "7517096 [[scopus author id, 57195936346], [researcheri... \n", "8068275 [[scopus author id, 55175503300], [researcheri... \n", "8184260 [[loop profile, 747193]] \n", "8791256 NaN \n", "10174509 [[scopus author id, 7006745874]] \n", "10257808 NaN \n", "10486212 [[researcherid, f-7045-2018], [scopus author i... \n", "10652632 [[scopus author id, 57195963463], [loop profil... \n", "\n", " education \\\n", "1025713 [[ilmu ekonomi, dr, universitas borobudur, jak... \n", "2743648 [[faculty of electronics and information techn... \n", "3011724 [[information technology, doctor habilitated (... \n", "3881064 [[chemical technology and cryogenic-vacuum tec... \n", "7466062 [[facultad de ciencias de la educación , maest... \n", "7517096 [[programme in history, history of art and ter... \n", "8068275 [[, postdoctoral in environmental sustainabili... 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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
474390000-0002-5967-2835TrueTrueoleksiygoryayinov<NA>[алексей николаевич горяинов, о.м.горяїнов, а....<NA>[diagnostics, transport, logistics][[researcherid, i-7977-2016]][[, дистанционный курс «ctl.sc2x: supply chain...[[docent, kharkiv petro vasylenko national tec...274[oleksiy goryayinov]2014-08-03 18:06:42.925000+00:002021-03-22 13:56:48.311000+00:000000FalseNaNNaN[khntusg.com.ua, khntusg.com.ua, google.com.ua...<NA>1313147
725570000-0002-3505-2797TrueTruenurulmalahayatigoogle scholarNaN<NA>NaN[[researcherid, q-3861-2017]][[civil and transportation engineering , maste...[[senior lecturer, universitas syiah kuala, ba...6[nurul malahayati]2017-10-01 00:46:31.324000+00:002019-08-19 15:52:47.253000+00:003003FalseNaNNaN[google.com, ristekdikti.go.id, unsyiah.ac.id,...<NA>161<NA>21
940810000-0003-3670-9620TrueTruecarlosbarreraim individual inventor, and this is my work; s...[retrodynamic, novelinflow]<NA>[engineering, gearturbine, technology, power, ...[[loop profile, 394457]]NaNNaN1[carlos barrera]2016-08-29 20:32:10.362000+00:002021-02-09 04:56:35.554000+00:000000FalseNaNNaN[blogspot.mx, behance.net, authorstream.com, d...<NA>2418<NA><NA>
2616730000-0002-5441-0465TrueTruenuriahernández-león<NA>[nuria h. león, nuria hernández león, hernánde...<NA>[icts, human resources, psychology of organiza...NaN[[, course: social skills, university of salam...[[merchandise reception and expedition trainer...11[nuria hernández-león]2015-11-28 07:18:58.442000+00:002021-03-05 16:37:47.403000+00:001004FalseNaNNaN[feriaempresamujer.com, escueladenegociosydire...<NA>16<NA>71916
3262110000-0002-7781-6767TrueTruemohd nazriismailborn in penang, malaysia in 1971, dr. mohd had...[ndum (national defence university of malaysia)]<NA>[wsn, design of network ip address, network ma...[[scopus author id, 24372977800], [researcheri...NaN[[lecturer, universiti pertahanan nasional mal...35[scopus - elsevier]2016-09-06 02:25:52.974000+00:002020-10-20 06:55:55.051000+00:00240035TrueNaNNaN[google.com.my, researchgate.net, academia.edu...<NA>16210<NA>4
.............................................................................................
105798010000-0001-5087-6965TrueTruerobertoharasystematics, evolutionary biology, and the his...[r. o’hara, r.j. o’hara, robert o’hara, robert...<NA>[evolutionary biology, education, new england ...[[isni, 0000000138200102], [researcherid, b-47...[[biology, ph.d., harvard university, cambridg...NaN45[robert j. o’hara]2014-09-21 02:45:19.620000+00:002020-07-09 06:51:09.228000+00:00230072TrueNaNNaN[rjohara.net, google.com, collegiateway.org, r...<NA>12351<NA>
105908820000-0002-3318-9861TrueTrueshaguftaperveenprof. dr. shagufta perveen is a professor at k...NaNshagufta792000@yahoo.com[shagufta perveen msu, shagufta perveen uk, sh...NaN[[hej research institute of chemistry, phd che...[[professor, king saud university college of p...66[scopus - elsevier]2015-12-21 10:34:06.771000+00:002021-02-22 14:58:30.893000+00:00560066Trueyahoo.com[msu.edu, ksu.edu.sa][shaguftaperveen.com, researchgate.net, ksu.ed...211<NA>2537
107660620000-0001-8960-9004TrueTruesusanbastani<NA>[s. bastani, سوسن باستانی]sbastani@alzahra.ac.ir[fuzzy logic, personal networks, social networ...[[scopus author id, 16642098400]][[sociology, ph.d., university of toronto, tor...[[professor, alzahra university, tehran, vanak...20[scopus - elsevier]2019-07-10 06:50:46.255000+00:002020-10-07 04:08:01.961000+00:00190033Truealzahra.ac.ir[gmail.com, gmail.com][scopus.com, google.com, publons.com, zenodo.o...2111434
108078390000-0002-4379-6454TrueTruecaroline wanjirukariukicaroline holds a phd in economics from curtin ...NaN<NA>[applied economics, financial economics, devel...NaN[[economics, doctor of philosophy , curtin uni...[[director, educational development, strathmor...4[caroline wanjiru kariuki]2020-03-18 10:18:04.007000+00:002021-02-11 14:40:38.515000+00:001000FalseNaNNaN[scopus.com, mendeley.com, publons.com, resear...<NA>13<NA>436
109119660000-0003-2311-0600TrueTruemyokyaw hlaing<NA>[dr myo kyaw hlaing]<NA>[economic geology]NaNNaN[[lecturer, union of myanmar ministry of educa...2[myo kyaw hlaing]2018-12-26 12:51:57.801000+00:002021-01-26 14:36:47.421000+00:001002FalseNaNNaN[facebook.com, linkedin.com, instagram.com, re...<NA>12<NA>1<NA>2
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
00000-0002-5967-2835TrueTrueoleksiygoryayinov<NA>[алексей николаевич горяинов, о.м.горяїнов, а....<NA>[diagnostics, transport, logistics][[researcherid, i-7977-2016]][[, дистанционный курс «ctl.sc2x: supply chain...[[docent, kharkiv petro vasylenko national tec...274oleksiy goryayinov2014-08-03 18:06:42.925000+00:002021-03-22 13:56:48.311000+00:000000FalseNaNNaN[khntusg.com.ua, khntusg.com.ua, google.com.ua...<NA>1313147
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20000-0003-3670-9620TrueTruecarlosbarreraim individual inventor, and this is my work; s...[retrodynamic, novelinflow]<NA>[engineering, gearturbine, technology, power, ...[[loop profile, 394457]]NaNNaN1carlos barrera2016-08-29 20:32:10.362000+00:002021-02-09 04:56:35.554000+00:000000FalseNaNNaN[blogspot.mx, behance.net, authorstream.com, d...<NA>2418<NA><NA>
30000-0002-5441-0465TrueTruenuriahernández-león<NA>[nuria h. león, nuria hernández león, hernánde...<NA>[icts, human resources, psychology of organiza...NaN[[, course: social skills, university of salam...[[merchandise reception and expedition trainer...11nuria hernández-león2015-11-28 07:18:58.442000+00:002021-03-05 16:37:47.403000+00:001004FalseNaNNaN[feriaempresamujer.com, escueladenegociosydire...<NA>16<NA>71916
40000-0002-7781-6767TrueTruemohd nazriismailborn in penang, malaysia in 1971, dr. mohd had...[ndum (national defence university of malaysia)]<NA>[wsn, design of network ip address, network ma...[[scopus author id, 24372977800], [researcheri...NaN[[lecturer, universiti pertahanan nasional mal...35scopus - elsevier2016-09-06 02:25:52.974000+00:002020-10-20 06:55:55.051000+00:00240035TrueNaNNaN[google.com.my, researchgate.net, academia.edu...<NA>16210<NA>4
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1350000-0001-5087-6965TrueTruerobertoharasystematics, evolutionary biology, and the his...[r. o’hara, r.j. o’hara, robert o’hara, robert...<NA>[evolutionary biology, education, new england ...[[isni, 0000000138200102], [researcherid, b-47...[[biology, ph.d., harvard university, cambridg...NaN45robert j. o’hara2014-09-21 02:45:19.620000+00:002020-07-09 06:51:09.228000+00:00230072TrueNaNNaN[rjohara.net, google.com, collegiateway.org, r...<NA>12351<NA>
1360000-0002-3318-9861TrueTrueshaguftaperveenprof. dr. shagufta perveen is a professor at k...NaNshagufta792000@yahoo.com[shagufta perveen msu, shagufta perveen uk, sh...NaN[[hej research institute of chemistry, phd che...[[professor, king saud university college of p...66scopus - elsevier2015-12-21 10:34:06.771000+00:002021-02-22 14:58:30.893000+00:00560066Trueyahoo.com[msu.edu, ksu.edu.sa][shaguftaperveen.com, researchgate.net, ksu.ed...211<NA>2537
1370000-0001-8960-9004TrueTruesusanbastani<NA>[s. bastani, سوسن باستانی]sbastani@alzahra.ac.ir[fuzzy logic, personal networks, social networ...[[scopus author id, 16642098400]][[sociology, ph.d., university of toronto, tor...[[professor, alzahra university, tehran, vanak...20scopus - elsevier2019-07-10 06:50:46.255000+00:002020-10-07 04:08:01.961000+00:00190033Truealzahra.ac.ir[gmail.com, gmail.com][scopus.com, google.com, publons.com, zenodo.o...2111434
1380000-0002-4379-6454TrueTruecaroline wanjirukariukicaroline holds a phd in economics from curtin ...NaN<NA>[applied economics, financial economics, devel...NaN[[economics, doctor of philosophy , curtin uni...[[director, educational development, strathmor...4caroline wanjiru kariuki2020-03-18 10:18:04.007000+00:002021-02-11 14:40:38.515000+00:001000FalseNaNNaN[scopus.com, mendeley.com, publons.com, resear...<NA>13<NA>436
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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "0 0000-0002-5967-2835 True True \n", "1 0000-0002-3505-2797 True True \n", "2 0000-0003-3670-9620 True True \n", "3 0000-0002-5441-0465 True True \n", "4 0000-0002-7781-6767 True True \n", ".. ... ... ... \n", "135 0000-0001-5087-6965 True True \n", "136 0000-0002-3318-9861 True True \n", "137 0000-0001-8960-9004 True True \n", "138 0000-0002-4379-6454 True True \n", "139 0000-0003-2311-0600 True True \n", "\n", " given_names family_name \\\n", "0 oleksiy goryayinov \n", "1 nurul malahayati \n", "2 carlos barrera \n", "3 nuria hernández-león \n", "4 mohd nazri ismail \n", ".. ... ... \n", "135 robert ohara \n", "136 shagufta perveen \n", "137 susan bastani \n", "138 caroline wanjiru kariuki \n", "139 myo kyaw hlaing \n", "\n", " biography \\\n", "0 \n", "1 google scholar \n", "2 im individual inventor, and this is my work; s... \n", "3 \n", "4 born in penang, malaysia in 1971, dr. mohd had... \n", ".. ... \n", "135 systematics, evolutionary biology, and the his... \n", "136 prof. dr. shagufta perveen is a professor at k... \n", "137 \n", "138 caroline holds a phd in economics from curtin ... \n", "139 \n", "\n", " other_names \\\n", "0 [алексей николаевич горяинов, о.м.горяїнов, а.... \n", "1 NaN \n", "2 [retrodynamic, novelinflow] \n", "3 [nuria h. león, nuria hernández león, hernánde... \n", "4 [ndum (national defence university of malaysia)] \n", ".. ... \n", "135 [r. o’hara, r.j. o’hara, robert o’hara, robert... \n", "136 NaN \n", "137 [s. bastani, سوسن باستانی] \n", "138 NaN \n", "139 [dr myo kyaw hlaing] \n", "\n", " primary_email \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "4 \n", ".. ... \n", "135 \n", "136 shagufta792000@yahoo.com \n", "137 sbastani@alzahra.ac.ir \n", "138 \n", "139 \n", "\n", " keywords \\\n", "0 [diagnostics, transport, logistics] \n", "1 NaN \n", "2 [engineering, gearturbine, technology, power, ... \n", "3 [icts, human resources, psychology of organiza... \n", "4 [wsn, design of network ip address, network ma... \n", ".. ... \n", "135 [evolutionary biology, education, new england ... \n", "136 [shagufta perveen msu, shagufta perveen uk, sh... \n", "137 [fuzzy logic, personal networks, social networ... \n", "138 [applied economics, financial economics, devel... \n", "139 [economic geology] \n", "\n", " external_ids \\\n", "0 [[researcherid, i-7977-2016]] \n", "1 [[researcherid, q-3861-2017]] \n", "2 [[loop profile, 394457]] \n", "3 NaN \n", "4 [[scopus author id, 24372977800], [researcheri... \n", ".. ... \n", "135 [[isni, 0000000138200102], [researcherid, b-47... \n", "136 NaN \n", "137 [[scopus author id, 16642098400]] \n", "138 NaN \n", "139 NaN \n", "\n", " education \\\n", "0 [[, дистанционный курс «ctl.sc2x: supply chain... \n", "1 [[civil and transportation engineering , maste... \n", "2 NaN \n", "3 [[, course: social skills, university of salam... \n", "4 NaN \n", ".. ... \n", "135 [[biology, ph.d., harvard university, cambridg... \n", "136 [[hej research institute of chemistry, phd che... \n", "137 [[sociology, ph.d., university of toronto, tor... \n", "138 [[economics, doctor of philosophy , curtin uni... \n", "139 NaN \n", "\n", " employment n_works \\\n", "0 [[docent, kharkiv petro vasylenko national tec... 274 \n", "1 [[senior lecturer, universitas syiah kuala, ba... 6 \n", "2 NaN 1 \n", "3 [[merchandise reception and expedition trainer... 11 \n", "4 [[lecturer, universiti pertahanan nasional mal... 35 \n", ".. ... ... \n", "135 NaN 45 \n", "136 [[professor, king saud university college of p... 66 \n", "137 [[professor, alzahra university, tehran, vanak... 20 \n", "138 [[director, educational development, strathmor... 4 \n", "139 [[lecturer, union of myanmar ministry of educa... 2 \n", "\n", " works_source activation_date \\\n", "0 oleksiy goryayinov 2014-08-03 18:06:42.925000+00:00 \n", "1 nurul malahayati 2017-10-01 00:46:31.324000+00:00 \n", "2 carlos barrera 2016-08-29 20:32:10.362000+00:00 \n", "3 nuria hernández-león 2015-11-28 07:18:58.442000+00:00 \n", "4 scopus - elsevier 2016-09-06 02:25:52.974000+00:00 \n", ".. ... ... \n", "135 robert j. o’hara 2014-09-21 02:45:19.620000+00:00 \n", "136 scopus - elsevier 2015-12-21 10:34:06.771000+00:00 \n", "137 scopus - elsevier 2019-07-10 06:50:46.255000+00:00 \n", "138 caroline wanjiru kariuki 2020-03-18 10:18:04.007000+00:00 \n", "139 myo kyaw hlaing 2018-12-26 12:51:57.801000+00:00 \n", "\n", " last_update_date n_doi n_arxiv n_pmc n_other_pids \\\n", "0 2021-03-22 13:56:48.311000+00:00 0 0 0 0 \n", "1 2019-08-19 15:52:47.253000+00:00 3 0 0 3 \n", "2 2021-02-09 04:56:35.554000+00:00 0 0 0 0 \n", "3 2021-03-05 16:37:47.403000+00:00 1 0 0 4 \n", "4 2020-10-20 06:55:55.051000+00:00 24 0 0 35 \n", ".. ... ... ... ... ... \n", "135 2020-07-09 06:51:09.228000+00:00 23 0 0 72 \n", "136 2021-02-22 14:58:30.893000+00:00 56 0 0 66 \n", "137 2020-10-07 04:08:01.961000+00:00 19 0 0 33 \n", "138 2021-02-11 14:40:38.515000+00:00 1 0 0 0 \n", "139 2021-01-26 14:36:47.421000+00:00 1 0 0 2 \n", "\n", " label primary_email_domain other_email_domains \\\n", "0 False NaN NaN \n", "1 False NaN NaN \n", "2 False NaN NaN \n", "3 False NaN NaN \n", "4 True NaN NaN \n", ".. ... ... ... \n", "135 True NaN NaN \n", "136 True yahoo.com [msu.edu, ksu.edu.sa] \n", "137 True alzahra.ac.ir [gmail.com, gmail.com] \n", "138 False NaN NaN \n", "139 False NaN NaN \n", "\n", " url_domains n_emails n_urls \\\n", "0 [khntusg.com.ua, khntusg.com.ua, google.com.ua... 13 \n", "1 [google.com, ristekdikti.go.id, unsyiah.ac.id,... 16 \n", "2 [blogspot.mx, behance.net, authorstream.com, d... 24 \n", "3 [feriaempresamujer.com, escueladenegociosydire... 16 \n", "4 [google.com.my, researchgate.net, academia.edu... 16 \n", ".. ... ... ... \n", "135 [rjohara.net, google.com, collegiateway.org, r... 12 \n", "136 [shaguftaperveen.com, researchgate.net, ksu.ed... 2 11 \n", "137 [scopus.com, google.com, publons.com, zenodo.o... 2 11 \n", "138 [scopus.com, mendeley.com, publons.com, resear... 13 \n", "139 [facebook.com, linkedin.com, instagram.com, re... 12 \n", "\n", " n_ids n_keywords n_education n_employment \n", "0 1 3 14 7 \n", "1 1 2 1 \n", "2 1 8 \n", "3 7 19 16 \n", "4 2 10 4 \n", ".. ... ... ... ... \n", "135 3 5 1 \n", "136 25 3 7 \n", "137 1 4 3 4 \n", "138 4 3 6 \n", "139 1 2 \n", "\n", "[140 rows x 30 columns]" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exploded_sources = df[(df['url_domains'].str.len() > 10) & (df['n_works'] > 0) & (df['works_source'].str.len() == 1)].explode('works_source').reset_index(drop=True)\n", "exploded_sources" ] }, { "cell_type": "code", "execution_count": 36, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employment
00000-0002-5967-2835TrueTrueoleksiygoryayinov<NA>[алексей николаевич горяинов, о.м.горяїнов, а....<NA>[diagnostics, transport, logistics][[researcherid, i-7977-2016]][[, дистанционный курс «ctl.sc2x: supply chain...[[docent, kharkiv petro vasylenko national tec...274oleksiy goryayinov2014-08-03 18:06:42.925000+00:002021-03-22 13:56:48.311000+00:000000FalseNaNNaN[khntusg.com.ua, khntusg.com.ua, google.com.ua...<NA>1313147
10000-0002-3505-2797TrueTruenurulmalahayatigoogle scholarNaN<NA>NaN[[researcherid, q-3861-2017]][[civil and transportation engineering , maste...[[senior lecturer, universitas syiah kuala, ba...6nurul malahayati2017-10-01 00:46:31.324000+00:002019-08-19 15:52:47.253000+00:003003FalseNaNNaN[google.com, ristekdikti.go.id, unsyiah.ac.id,...<NA>161<NA>21
20000-0003-3670-9620TrueTruecarlosbarreraim individual inventor, and this is my work; s...[retrodynamic, novelinflow]<NA>[engineering, gearturbine, technology, power, ...[[loop profile, 394457]]NaNNaN1carlos barrera2016-08-29 20:32:10.362000+00:002021-02-09 04:56:35.554000+00:000000FalseNaNNaN[blogspot.mx, behance.net, authorstream.com, d...<NA>2418<NA><NA>
30000-0002-5441-0465TrueTruenuriahernández-león<NA>[nuria h. león, nuria hernández león, hernánde...<NA>[icts, human resources, psychology of organiza...NaN[[, course: social skills, university of salam...[[merchandise reception and expedition trainer...11nuria hernández-león2015-11-28 07:18:58.442000+00:002021-03-05 16:37:47.403000+00:001004FalseNaNNaN[feriaempresamujer.com, escueladenegociosydire...<NA>16<NA>71916
50000-0001-7010-2908TrueTrueclarasarmentoclara sarmento holds an aggregation in cultura...NaN<NA>[ethnography, portuguese culture and literatur...[[ciência id, d418-d6f8-7d49]][[ao abrigo da bolsa santander ie best practic...[[presidente da comissão de acreditação do nov...275clara sarmento2013-12-12 00:33:58.190000+00:002020-10-12 14:43:00.749000+00:00170060TrueNaNNaN[iscap.pt, google.pt, academia.edu, researchga...<NA>1316837
.............................................................................................
1330000-0003-1020-1351TrueTruesheikh saifullahahmedsheikh saifullah ahmed is a full-time lecturer...NaNsaifullahahmedku@gmail.com[post-truth, postmodern literature, critical t...NaN[[english discipline , ma & ba in english , kh...[[lecturer , international university of busin...3sheikh saifullah ahmed2020-04-08 21:00:11.201000+00:002021-02-12 20:45:32.247000+00:002003Falsegmail.comNaN[academia.edu, iubat.edu, google.com, research...<NA>12<NA>511
1340000-0001-7228-5680TrueTruetextprotocol<NA>NaN<NA>NaNNaNNaN[[engineer, textprotocol.org, palo alto, ca, u...1text protocol2021-03-09 10:30:32.237000+00:002021-03-21 17:17:40.500000+00:000000FalseNaNNaN[about.me, figma.com, github.com, gitlab.com, ...<NA>15<NA><NA><NA>1
1350000-0001-5087-6965TrueTruerobertoharasystematics, evolutionary biology, and the his...[r. o’hara, r.j. o’hara, robert o’hara, robert...<NA>[evolutionary biology, education, new england ...[[isni, 0000000138200102], [researcherid, b-47...[[biology, ph.d., harvard university, cambridg...NaN45robert j. o’hara2014-09-21 02:45:19.620000+00:002020-07-09 06:51:09.228000+00:00230072TrueNaNNaN[rjohara.net, google.com, collegiateway.org, r...<NA>12351<NA>
1380000-0002-4379-6454TrueTruecaroline wanjirukariukicaroline holds a phd in economics from curtin ...NaN<NA>[applied economics, financial economics, devel...NaN[[economics, doctor of philosophy , curtin uni...[[director, educational development, strathmor...4caroline wanjiru kariuki2020-03-18 10:18:04.007000+00:002021-02-11 14:40:38.515000+00:001000FalseNaNNaN[scopus.com, mendeley.com, publons.com, resear...<NA>13<NA>436
1390000-0003-2311-0600TrueTruemyokyaw hlaing<NA>[dr myo kyaw hlaing]<NA>[economic geology]NaNNaN[[lecturer, union of myanmar ministry of educa...2myo kyaw hlaing2018-12-26 12:51:57.801000+00:002021-01-26 14:36:47.421000+00:001002FalseNaNNaN[facebook.com, linkedin.com, instagram.com, re...<NA>12<NA>1<NA>2
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113 rows × 30 columns

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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "0 0000-0002-5967-2835 True True \n", "1 0000-0002-3505-2797 True True \n", "2 0000-0003-3670-9620 True True \n", "3 0000-0002-5441-0465 True True \n", "5 0000-0001-7010-2908 True True \n", ".. ... ... ... \n", "133 0000-0003-1020-1351 True True \n", "134 0000-0001-7228-5680 True True \n", "135 0000-0001-5087-6965 True True \n", "138 0000-0002-4379-6454 True True \n", "139 0000-0003-2311-0600 True True \n", "\n", " given_names family_name \\\n", "0 oleksiy goryayinov \n", "1 nurul malahayati \n", "2 carlos barrera \n", "3 nuria hernández-león \n", "5 clara sarmento \n", ".. ... ... \n", "133 sheikh saifullah ahmed \n", "134 text protocol \n", "135 robert ohara \n", "138 caroline wanjiru kariuki \n", "139 myo kyaw hlaing \n", "\n", " biography \\\n", "0 \n", "1 google scholar \n", "2 im individual inventor, and this is my work; s... \n", "3 \n", "5 clara sarmento holds an aggregation in cultura... \n", ".. ... \n", "133 sheikh saifullah ahmed is a full-time lecturer... \n", "134 \n", "135 systematics, evolutionary biology, and the his... \n", "138 caroline holds a phd in economics from curtin ... \n", "139 \n", "\n", " other_names \\\n", "0 [алексей николаевич горяинов, о.м.горяїнов, а.... \n", "1 NaN \n", "2 [retrodynamic, novelinflow] \n", "3 [nuria h. león, nuria hernández león, hernánde... \n", "5 NaN \n", ".. ... \n", "133 NaN \n", "134 NaN \n", "135 [r. o’hara, r.j. o’hara, robert o’hara, robert... \n", "138 NaN \n", "139 [dr myo kyaw hlaing] \n", "\n", " primary_email \\\n", "0 \n", "1 \n", "2 \n", "3 \n", "5 \n", ".. ... \n", "133 saifullahahmedku@gmail.com \n", "134 \n", "135 \n", "138 \n", "139 \n", "\n", " keywords \\\n", "0 [diagnostics, transport, logistics] \n", "1 NaN \n", "2 [engineering, gearturbine, technology, power, ... \n", "3 [icts, human resources, psychology of organiza... \n", "5 [ethnography, portuguese culture and literatur... \n", ".. ... \n", "133 [post-truth, postmodern literature, critical t... \n", "134 NaN \n", "135 [evolutionary biology, education, new england ... \n", "138 [applied economics, financial economics, devel... \n", "139 [economic geology] \n", "\n", " external_ids \\\n", "0 [[researcherid, i-7977-2016]] \n", "1 [[researcherid, q-3861-2017]] \n", "2 [[loop profile, 394457]] \n", "3 NaN \n", "5 [[ciência id, d418-d6f8-7d49]] \n", ".. ... \n", "133 NaN \n", "134 NaN \n", "135 [[isni, 0000000138200102], [researcherid, b-47... \n", "138 NaN \n", "139 NaN \n", "\n", " education \\\n", "0 [[, дистанционный курс «ctl.sc2x: supply chain... \n", "1 [[civil and transportation engineering , maste... \n", "2 NaN \n", "3 [[, course: social skills, university of salam... \n", "5 [[ao abrigo da bolsa santander ie best practic... \n", ".. ... \n", "133 [[english discipline , ma & ba in english , kh... \n", "134 NaN \n", "135 [[biology, ph.d., harvard university, cambridg... \n", "138 [[economics, doctor of philosophy , curtin uni... \n", "139 NaN \n", "\n", " employment n_works \\\n", "0 [[docent, kharkiv petro vasylenko national tec... 274 \n", "1 [[senior lecturer, universitas syiah kuala, ba... 6 \n", "2 NaN 1 \n", "3 [[merchandise reception and expedition trainer... 11 \n", "5 [[presidente da comissão de acreditação do nov... 275 \n", ".. ... ... \n", "133 [[lecturer , international university of busin... 3 \n", "134 [[engineer, textprotocol.org, palo alto, ca, u... 1 \n", "135 NaN 45 \n", "138 [[director, educational development, strathmor... 4 \n", "139 [[lecturer, union of myanmar ministry of educa... 2 \n", "\n", " works_source activation_date \\\n", "0 oleksiy goryayinov 2014-08-03 18:06:42.925000+00:00 \n", "1 nurul malahayati 2017-10-01 00:46:31.324000+00:00 \n", "2 carlos barrera 2016-08-29 20:32:10.362000+00:00 \n", "3 nuria hernández-león 2015-11-28 07:18:58.442000+00:00 \n", "5 clara sarmento 2013-12-12 00:33:58.190000+00:00 \n", ".. ... ... \n", "133 sheikh saifullah ahmed 2020-04-08 21:00:11.201000+00:00 \n", "134 text protocol 2021-03-09 10:30:32.237000+00:00 \n", "135 robert j. o’hara 2014-09-21 02:45:19.620000+00:00 \n", "138 caroline wanjiru kariuki 2020-03-18 10:18:04.007000+00:00 \n", "139 myo kyaw hlaing 2018-12-26 12:51:57.801000+00:00 \n", "\n", " last_update_date n_doi n_arxiv n_pmc n_other_pids \\\n", "0 2021-03-22 13:56:48.311000+00:00 0 0 0 0 \n", "1 2019-08-19 15:52:47.253000+00:00 3 0 0 3 \n", "2 2021-02-09 04:56:35.554000+00:00 0 0 0 0 \n", "3 2021-03-05 16:37:47.403000+00:00 1 0 0 4 \n", "5 2020-10-12 14:43:00.749000+00:00 17 0 0 60 \n", ".. ... ... ... ... ... \n", "133 2021-02-12 20:45:32.247000+00:00 2 0 0 3 \n", "134 2021-03-21 17:17:40.500000+00:00 0 0 0 0 \n", "135 2020-07-09 06:51:09.228000+00:00 23 0 0 72 \n", "138 2021-02-11 14:40:38.515000+00:00 1 0 0 0 \n", "139 2021-01-26 14:36:47.421000+00:00 1 0 0 2 \n", "\n", " label primary_email_domain other_email_domains \\\n", "0 False NaN NaN \n", "1 False NaN NaN \n", "2 False NaN NaN \n", "3 False NaN NaN \n", "5 True NaN NaN \n", ".. ... ... ... \n", "133 False gmail.com NaN \n", "134 False NaN NaN \n", "135 True NaN NaN \n", "138 False NaN NaN \n", "139 False NaN NaN \n", "\n", " url_domains n_emails n_urls \\\n", "0 [khntusg.com.ua, khntusg.com.ua, google.com.ua... 13 \n", "1 [google.com, ristekdikti.go.id, unsyiah.ac.id,... 16 \n", "2 [blogspot.mx, behance.net, authorstream.com, d... 24 \n", "3 [feriaempresamujer.com, escueladenegociosydire... 16 \n", "5 [iscap.pt, google.pt, academia.edu, researchga... 13 \n", ".. ... ... ... \n", "133 [academia.edu, iubat.edu, google.com, research... 12 \n", "134 [about.me, figma.com, github.com, gitlab.com, ... 15 \n", "135 [rjohara.net, google.com, collegiateway.org, r... 12 \n", "138 [scopus.com, mendeley.com, publons.com, resear... 13 \n", "139 [facebook.com, linkedin.com, instagram.com, re... 12 \n", "\n", " n_ids n_keywords n_education n_employment \n", "0 1 3 14 7 \n", "1 1 2 1 \n", "2 1 8 \n", "3 7 19 16 \n", "5 1 6 8 37 \n", ".. ... ... ... ... \n", "133 5 1 1 \n", "134 1 \n", "135 3 5 1 \n", "138 4 3 6 \n", "139 1 2 \n", "\n", "[113 rows x 30 columns]" ] }, "execution_count": 36, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exploded_sources[exploded_sources.apply(lambda x: x['works_source'].find(x['given_names']) >= 0, axis=1)]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## GRID.ac filtering" ] }, { "cell_type": "code", "execution_count": 166, "metadata": {}, "outputs": [], "source": [ "def extract_domain(link):\n", " return tldextract.extract(link).registered_domain" ] }, { "cell_type": "code", "execution_count": 223, "metadata": {}, "outputs": [], "source": [ "grid_df = pd.read_csv('../data/external/grid/full_tables/links.csv', index_col='grid_id')\n", "grid_df['domain'] = grid_df.link.apply(extract_domain)" ] }, { "cell_type": "code", "execution_count": 171, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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linkdomain
grid_id
grid.1001.0http://www.anu.edu.au/anu.edu.au
grid.1002.3http://www.monash.edu/monash.edu
grid.1003.2http://www.uq.edu.au/uq.edu.au
grid.1004.5http://mq.edu.au/mq.edu.au
grid.1005.4https://www.unsw.edu.au/unsw.edu.au
.........
grid.510886.2https://cftni.org/cftni.org
grid.510887.3https://tinybeamfund.org/tinybeamfund.org
grid.510888.chttps://www.tmg-thinktank.com/tmg-thinktank.com
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" ], "text/plain": [ " orcid url_domains\n", "6 0000-0001-7402-0096 kth.se\n", "11 0000-0001-8377-3508 cnpq.br\n", "29 0000-0002-2638-4108 unioviedo.es\n", "46 0000-0003-1435-6545 cnpq.br\n", "46 0000-0003-1435-6545 linkedin.com\n", "... ... ...\n", "10989632 0000-0001-9133-2366 au.dk\n", "10989636 0000-0002-2906-0299 oxytocin.com.au\n", "10989636 0000-0002-2906-0299 linkedin.com\n", "10989640 0000-0002-1070-2220 vpsantanna.com\n", "10989641 0000-0002-2187-970X linkedin.com\n", "\n", "[1025856 rows x 2 columns]" ] }, "execution_count": 178, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exp = df[['orcid', 'url_domains']].explode('url_domains')\n", "exp = exp[exp.url_domains.notna()]\n", "exp" ] }, { "cell_type": "code", "execution_count": 218, "metadata": {}, "outputs": [], "source": [ "exp['grid'] = exp.url_domains.isin(grid_df.domain)" ] }, { "cell_type": "code", "execution_count": 201, "metadata": {}, "outputs": [], "source": [ "non_grid_domains = exp[~exp.url_domains.isin(grid_df.domain)].groupby('url_domains').count().sort_values('orcid', ascending=False)" ] }, { "cell_type": "code", "execution_count": 213, "metadata": {}, "outputs": [], "source": [ "DOMAIN_EXCLUSIONS = ['google.', 'youtube.', 'github', 'researchgate', 'academia.edu', 'elsevier.', 'elsevierpure.com',\n", " 'publons.', 'scopus', 'researcherid', 'ac.uk', '.gov.', '.edu', 'arxiv']\n", "for dex in DOMAIN_EXCLUSIONS:\n", " non_grid_domains.drop(non_grid_domains.filter(like=dex, axis=0).index, inplace=True)" ] }, { "cell_type": "code", "execution_count": 214, "metadata": {}, "outputs": [], "source": [ "non_grid_domains.to_csv('../data/processed/non_grid_urls.csv')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Works source" ] }, { "cell_type": "code", "execution_count": 37, "metadata": {}, "outputs": [], "source": [ "def remove_self_source(lst, given, family):\n", " res = []\n", " for ws in lst:\n", " if ws.lower().find(given.lower()) == -1:\n", " if pd.notna(family):\n", " if ws.lower().find(family.lower()) == -1:\n", " res.append(ws)\n", " else:\n", " res.append(ws)\n", " return res" ] }, { "cell_type": "code", "execution_count": 38, "metadata": {}, "outputs": [], "source": [ "df['ext_works_source'] = df[(df.works_source.notna()) & (df.given_names.notna())]\\\n", " .apply(lambda x: remove_self_source(x['works_source'], x['given_names'], x['family_name']), axis=1)" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [], "source": [ "df['n_ext_work_source'] = pd.Series(df.ext_works_source.str.len(), dtype=pd.Int16Dtype())" ] }, { "cell_type": "code", "execution_count": 40, "metadata": {}, "outputs": [], "source": [ "exploded_external_sources = df[df['ext_works_source'].str.len() > 0][['orcid','ext_works_source']]\\\n", " .explode('ext_works_source').reset_index(drop=True)" ] }, { "cell_type": "code", "execution_count": 41, "metadata": {}, "outputs": [], "source": [ "grouped_ext_sources = exploded_external_sources.groupby('ext_works_source')\\\n", " .count()\\\n", " .sort_values('orcid', ascending=False)\\\n", " .reset_index()" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "type": "bar", "x": [ "crossref", "scopus - elsevier", "crossref metadata search", "multidisciplinary digital publishing institute", "europe pubmed central", "researcherid", "publons", "ciênciavitae", "base - bielefeld academic search engine", "datacite", "redalyc", "mla international bibliography", "deutsche nationalbibliothek (dnb)", "nasa astrophysics data system", "national information processing institute ", "f1000", "inspire-hep", "university of helsinki", "hal", "igi global", "airiti", "university of copenhagen", "universidade federal de uberlândia", "aarhus university", "universidad del país vasco", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(30)\n", "data = [\n", " go.Bar(\n", " x=grouped_ext_sources[:TOP_N].ext_works_source,\n", " y=grouped_ext_sources[:TOP_N].orcid\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Top %s works_source' % TOP_N,\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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ext_works_sourceorcid
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" ], "text/plain": [ " ext_works_source orcid\n", "0 crossref 1460841\n", "1 scopus - elsevier 902231\n", "2 crossref metadata search 297684\n", "3 multidisciplinary digital publishing institute 281664\n", "4 europe pubmed central 181605\n", ".. ... ...\n", "337 uta - oa journal global insight 3\n", "338 francis crick institute 3\n", "339 anna 3\n", "340 santos 3\n", "341 universitäts- und stadtbibliothek köln 3\n", "\n", "[342 rows x 2 columns]" ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "authoritative_sources = grouped_ext_sources[grouped_ext_sources['orcid'] > 2]\n", "authoritative_sources" ] }, { "cell_type": "code", "execution_count": 44, "metadata": {}, "outputs": [], "source": [ "exploded_external_sources['authoritative'] = exploded_external_sources.ext_works_source\\\n", " .isin(authoritative_sources['ext_works_source'])" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [], "source": [ "orcid_authoritative_source = exploded_external_sources\\\n", " .groupby('orcid')['authoritative']\\\n", " .any()\\\n", " .reset_index()[['orcid', 'authoritative']]" ] }, { "cell_type": "code", "execution_count": 46, "metadata": {}, "outputs": [], "source": [ "df = df.merge(orcid_authoritative_source, on='orcid', how='left')" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [], "source": [ "df.loc[df.authoritative.isna(), 'authoritative'] = False" ] }, { "cell_type": "code", "execution_count": 48, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritative
00000-0001-6097-3953FalseFalse<NA><NA><NA>NaN<NA>NaNNaNNaNNaN0NaN2018-03-02 09:29:16.528000+00:002018-03-02 09:43:07.551000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA><NA>NaN<NA>False
10000-0001-6112-5550TrueTrue<NA><NA><NA>[v.i. yurtaev; v. yurtaev]<NA>NaNNaNNaN[[professor, peoples friendship university of ...0NaN2018-04-03 07:50:23.358000+00:002020-03-18 09:42:44.753000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA>1NaN<NA>False
20000-0001-6152-2695TrueTrue<NA><NA><NA>NaN<NA>NaNNaNNaNNaN0NaN2019-12-11 15:31:56.388000+00:002020-01-28 15:34:17.309000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA><NA>NaN<NA>False
30000-0001-6220-5683TrueTrue<NA><NA><NA>NaN<NA>NaNNaNNaN[[research scientist, new york university abu ...0NaN2015-08-18 12:36:45.307000+00:002020-09-23 13:37:54.180000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA>1NaN<NA>False
40000-0001-7071-8294TrueTrue<NA><NA><NA>NaN<NA>NaNNaNNaN[[researcher (academic), universidad de zarago...0NaN2014-03-10 13:22:01.966000+00:002016-06-14 22:17:54.470000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA>2NaN<NA>False
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" ], "text/plain": [ " orcid verified_email verified_primary_email given_names \\\n", "0 0000-0001-6097-3953 False False \n", "1 0000-0001-6112-5550 True True \n", "2 0000-0001-6152-2695 True True \n", "3 0000-0001-6220-5683 True True \n", "4 0000-0001-7071-8294 True True \n", "\n", " family_name biography other_names primary_email keywords \\\n", "0 NaN NaN \n", "1 [v.i. yurtaev; v. yurtaev] NaN \n", "2 NaN NaN \n", "3 NaN NaN \n", "4 NaN NaN \n", "\n", " external_ids education employment \\\n", "0 NaN NaN NaN \n", "1 NaN NaN [[professor, peoples friendship university of ... \n", "2 NaN NaN NaN \n", "3 NaN NaN [[research scientist, new york university abu ... \n", "4 NaN NaN [[researcher (academic), universidad de zarago... \n", "\n", " n_works works_source activation_date \\\n", "0 0 NaN 2018-03-02 09:29:16.528000+00:00 \n", "1 0 NaN 2018-04-03 07:50:23.358000+00:00 \n", "2 0 NaN 2019-12-11 15:31:56.388000+00:00 \n", "3 0 NaN 2015-08-18 12:36:45.307000+00:00 \n", "4 0 NaN 2014-03-10 13:22:01.966000+00:00 \n", "\n", " last_update_date n_doi n_arxiv n_pmc n_other_pids \\\n", "0 2018-03-02 09:43:07.551000+00:00 0 0 0 0 \n", "1 2020-03-18 09:42:44.753000+00:00 0 0 0 0 \n", "2 2020-01-28 15:34:17.309000+00:00 0 0 0 0 \n", "3 2020-09-23 13:37:54.180000+00:00 0 0 0 0 \n", "4 2016-06-14 22:17:54.470000+00:00 0 0 0 0 \n", "\n", " label primary_email_domain other_email_domains url_domains n_emails \\\n", "0 False NaN NaN NaN \n", "1 False NaN NaN NaN \n", "2 False NaN NaN NaN \n", "3 False NaN NaN NaN \n", "4 False NaN NaN NaN \n", "\n", " n_urls n_ids n_keywords n_education n_employment ext_works_source \\\n", "0 NaN \n", "1 1 NaN \n", "2 NaN \n", "3 1 NaN \n", "4 2 NaN \n", "\n", " n_ext_work_source authoritative \n", "0 False \n", "1 False \n", "2 False \n", "3 False \n", "4 False " ] }, "execution_count": 48, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## External IDs" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "External IDs should come from reliable sources. ORCiD registrants cannot add them freely." ] }, { "cell_type": "code", "execution_count": 49, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 1.308598e+06\n", "mean 1.359082e+00\n", "std 6.643235e-01\n", "min 1.000000e+00\n", "25% 1.000000e+00\n", "50% 1.000000e+00\n", "75% 2.000000e+00\n", "max 8.000000e+01\n", "Name: n_ids, dtype: float64" ] }, "execution_count": 49, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.n_ids.describe()" ] }, { "cell_type": "code", "execution_count": 50, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritative
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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "3896226 0000-0002-9554-6633 True True \n", "\n", " given_names family_name biography other_names primary_email keywords \\\n", "3896226 john a williams NaN NaN \n", "\n", " external_ids education \\\n", "3896226 [[scopus author id,  55553733518], [scopus aut... NaN \n", "\n", " employment n_works \\\n", "3896226 [[, aston university, birmingham, , gb, 1722, ... 92 \n", "\n", " works_source activation_date \\\n", "3896226 [aston research explorer] 2014-11-20 09:42:10.690000+00:00 \n", "\n", " last_update_date n_doi n_arxiv n_pmc n_other_pids \\\n", "3896226 2021-03-17 01:00:51.203000+00:00 80 0 0 208 \n", "\n", " label primary_email_domain other_email_domains url_domains \\\n", "3896226 True NaN NaN [aston.ac.uk] \n", "\n", " n_emails n_urls n_ids n_keywords n_education n_employment \\\n", "3896226 1 80 1 \n", "\n", " ext_works_source n_ext_work_source authoritative \n", "3896226 [aston research explorer] 1 True " ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.n_ids == df.n_ids.max()]" ] }, { "cell_type": "code", "execution_count": 51, "metadata": {}, "outputs": [], "source": [ "ids = df[['orcid', 'external_ids']].explode('external_ids').reset_index(drop=True)" ] }, { "cell_type": "code", "execution_count": 52, "metadata": {}, "outputs": [], "source": [ "ids['provider'] = ids[ids.external_ids.notna()]['external_ids'].apply(lambda x: x[0])" ] }, { "cell_type": "code", "execution_count": 53, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidexternal_idsprovider
90000-0001-8315-2066[researcherid, k-4630-2014]researcherid
290000-0002-2638-4108[scopus author id, 54394231000]scopus author id
460000-0003-1435-6545[researcherid, p-2223-2018]researcherid
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" ], "text/plain": [ " orcid external_ids provider\n", "9 0000-0001-8315-2066 [researcherid, k-4630-2014] researcherid\n", "29 0000-0002-2638-4108 [scopus author id, 54394231000] scopus author id\n", "46 0000-0003-1435-6545 [researcherid, p-2223-2018] researcherid\n", "50 0000-0003-2259-7023 [scopus author id, 57189297461] scopus author id\n", "64 0000-0002-7397-5824 [scopus author id, 8399842800] scopus author id" ] }, "execution_count": 53, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ids[ids.provider.notna()].head()" ] }, { "cell_type": "code", "execution_count": 54, "metadata": {}, "outputs": [], "source": [ "top_ids_providers = ids.groupby('provider').count().sort_values('orcid', ascending=False)" ] }, { "cell_type": "code", "execution_count": 55, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "type": "bar", "x": [ 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "data = [\n", " go.Bar(\n", " x=top_ids_providers.index,\n", " y=top_ids_providers['orcid']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='IDs provided by providers',\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12))\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "code", "execution_count": 56, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "array([nan, 'researcherid', 'scopus author id', 'loop profile', 'gnd',\n", " 'ciência id', 'researcher name resolver id', 'pitt id',\n", " 'id dialnet', 'isni', 'technical university of denmark cwis',\n", " 'chalmers id', 'scopus author id: ', 'scopus author id:',\n", " 'hkust profile', 'hku researcherpage', '中国科学家在线', 'uow scholars',\n", " 'sciprofile', 'cti vitae', 'digital author id', 'researcher id',\n", " 'authenticusid', 'authid', 'authenticus', 'scopus id',\n", " 'digital author id (dai)', 'researcherid:', 'vivo cornell',\n", " 'us epa vivo', 'escientist', 'github', 'iauthor', 'orcid id',\n", " 'dai', 'scopus id', 'smithsonian profiles', 'google scholar',\n", " 'kaken', 'dialnet id', 'researcherid: ', 'une researcher id',\n", " 'sciprofiles', 'id dialnet:', 'scienceopen', 'orcid',\n", " 'profile system identifier', 'custom'], dtype=object)" ] }, "execution_count": 56, "metadata": {}, "output_type": "execute_result" } ], "source": [ "pd.unique(ids['provider'])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Keywords" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This field is problematic as users can be nasty and put multiple keywords in one as opposed of having different keywords. Look this" ] }, { "cell_type": "code", "execution_count": 57, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidn_keywords
37517140000-0002-0673-0341154
86979260000-0003-3343-5660148
11545230000-0002-6075-3501140
65129710000-0002-7060-4112140
15151970000-0001-5287-1949132
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109896440000-0002-1686-1935<NA>
109896450000-0002-3800-6331<NA>
109896460000-0002-8783-5814<NA>
109896470000-0002-7584-2283<NA>
109896480000-0003-0529-3538<NA>
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(100)\n", "data = [\n", " go.Bar(\n", " x=keywords_by_orcid[:TOP_N]['orcid'],\n", " y=keywords_by_orcid[:TOP_N]['n_keywords']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Keywords provided by ORCiD',\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "code", "execution_count": 59, "metadata": {}, "outputs": [], "source": [ "top_keywords = df[['orcid', 'keywords']]\\\n", " .explode('keywords')\\\n", " .reset_index(drop=True)\\\n", " .groupby('keywords')\\\n", " .count()\\\n", " .sort_values('orcid', ascending=False)" ] }, { "cell_type": "code", "execution_count": 60, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "type": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(50)\n", "data = [\n", " go.Bar(\n", " x=top_keywords[:TOP_N].index,\n", " y=top_keywords[:TOP_N]['orcid']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Top-%s keywords occurrence' % TOP_N,\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12))\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Education" ] }, { "cell_type": "code", "execution_count": 61, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 2.441645e+06\n", "mean 1.816169e+00\n", "std 1.132196e+00\n", "min 1.000000e+00\n", "25% 1.000000e+00\n", "50% 1.000000e+00\n", "75% 2.000000e+00\n", "max 2.000000e+02\n", "Name: n_education, dtype: float64" ] }, "execution_count": 61, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.n_education.describe()" ] }, { "cell_type": "code", "execution_count": 62, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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105361690000-0002-1927-0292TrueTruephd. carmen mgalvez-sánchezmy name is carmen maria galvez sánchez. i´m a ...NaN<NA>[gender-based violence, fibromyalgia, quantita...[[loop profile, 509331], [scopus author id, 57...[[psychology, 2019-2020 course. degree in psyc...[[researcher and teaching staff. postdoctoral ...35[phd. carmen m galvez-sánchez, multidisciplina...2016-04-18 14:28:57.237000+00:002021-03-06 14:17:33.246000+00:0024007TrueNaNNaNNaN<NA><NA>252003[multidisciplinary digital publishing institut...4True
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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "10536169 0000-0002-1927-0292 True True \n", "\n", " given_names family_name \\\n", "10536169 phd. carmen m galvez-sánchez \n", "\n", " biography other_names \\\n", "10536169 my name is carmen maria galvez sánchez. i´m a ... NaN \n", "\n", " primary_email keywords \\\n", "10536169 [gender-based violence, fibromyalgia, quantita... \n", "\n", " external_ids \\\n", "10536169 [[loop profile, 509331], [scopus author id, 57... \n", "\n", " education \\\n", "10536169 [[psychology, 2019-2020 course. degree in psyc... \n", "\n", " employment n_works \\\n", "10536169 [[researcher and teaching staff. postdoctoral ... 35 \n", "\n", " works_source \\\n", "10536169 [phd. carmen m galvez-sánchez, multidisciplina... \n", "\n", " activation_date last_update_date \\\n", "10536169 2016-04-18 14:28:57.237000+00:00 2021-03-06 14:17:33.246000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "10536169 24 0 0 7 True NaN \n", "\n", " other_email_domains url_domains n_emails n_urls n_ids n_keywords \\\n", "10536169 NaN NaN 2 5 \n", "\n", " n_education n_employment \\\n", "10536169 200 3 \n", "\n", " ext_works_source \\\n", "10536169 [multidisciplinary digital publishing institut... \n", "\n", " n_ext_work_source authoritative \n", "10536169 4 True " ] }, "execution_count": 62, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.n_education == df.n_education.max()]" ] }, { "cell_type": "code", "execution_count": 63, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcideducation
280000-0002-2343-910X[aeronautics and astronautics, phd, massachuse...
280000-0002-2343-910X[aeronautics and astronautics, sm, massachuset...
280000-0002-2343-910X[mechanical engineering and material science, ...
290000-0002-2638-4108[public law, ph doctor, university of oviedo, ...
460000-0003-1435-6545[morfologia, , universidade estadual paulista ...
.........
109896440000-0002-1686-1935[, , south china agricultural university, guan...
109896450000-0002-3800-6331[richard gilder graduate school, phd in compar...
109896450000-0002-3800-6331[geological sciences and history (dual major),...
109896470000-0002-7584-2283[school of electronics and information, master...
109896470000-0002-7584-2283[ department of electrical engineering, bachel...
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4434439 rows × 2 columns

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" ], "text/plain": [ " orcid \\\n", "28 0000-0002-2343-910X \n", "28 0000-0002-2343-910X \n", "28 0000-0002-2343-910X \n", "29 0000-0002-2638-4108 \n", "46 0000-0003-1435-6545 \n", "... ... \n", "10989644 0000-0002-1686-1935 \n", "10989645 0000-0002-3800-6331 \n", "10989645 0000-0002-3800-6331 \n", "10989647 0000-0002-7584-2283 \n", "10989647 0000-0002-7584-2283 \n", "\n", " education \n", "28 [aeronautics and astronautics, phd, massachuse... \n", "28 [aeronautics and astronautics, sm, massachuset... \n", "28 [mechanical engineering and material science, ... \n", "29 [public law, ph doctor, university of oviedo, ... \n", "46 [morfologia, , universidade estadual paulista ... \n", "... ... \n", "10989644 [, , south china agricultural university, guan... \n", "10989645 [richard gilder graduate school, phd in compar... \n", "10989645 [geological sciences and history (dual major),... \n", "10989647 [school of electronics and information, master... \n", "10989647 [ department of electrical engineering, bachel... \n", "\n", "[4434439 rows x 2 columns]" ] }, "execution_count": 63, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exploded_education = df[['orcid', 'education']].explode('education').dropna()\n", "exploded_education" ] }, { "cell_type": "code", "execution_count": 64, "metadata": {}, "outputs": [], "source": [ "exploded_education[['degree', 'role', 'university', 'city', 'region', 'country', 'id', 'id_scheme']] = pd.DataFrame(exploded_education.education.tolist(), index=exploded_education.index)" ] }, { "cell_type": "code", "execution_count": 65, "metadata": {}, "outputs": [], "source": [ "exploded_education.id.replace('', pd.NA, inplace=True)" ] }, { "cell_type": "code", "execution_count": 68, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidid
00000-0001-5000-01623
10000-0001-5000-01702
20000-0001-5000-02183
30000-0001-5000-02261
40000-0001-5000-03060
.........
24416400000-0003-4999-97191
24416410000-0003-4999-97351
24416420000-0003-4999-992X2
24416430000-0003-4999-99382
24416440000-0003-4999-99541
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2441645 rows × 2 columns

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" ], "text/plain": [ " orcid id\n", "0 0000-0001-5000-0162 3\n", "1 0000-0001-5000-0170 2\n", "2 0000-0001-5000-0218 3\n", "3 0000-0001-5000-0226 1\n", "4 0000-0001-5000-0306 0\n", "... ... ..\n", "2441640 0000-0003-4999-9719 1\n", "2441641 0000-0003-4999-9735 1\n", "2441642 0000-0003-4999-992X 2\n", "2441643 0000-0003-4999-9938 2\n", "2441644 0000-0003-4999-9954 1\n", "\n", "[2441645 rows x 2 columns]" ] }, "execution_count": 68, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exploded_education.groupby('orcid').id.count().reset_index()" ] }, { "cell_type": "code", "execution_count": 69, "metadata": {}, "outputs": [], "source": [ "df = df.merge(exploded_education.groupby('orcid').id.count().reset_index(), on='orcid', how='left')\n", "df.rename(columns={'id': 'n_valid_education'}, inplace=True)" ] }, { "cell_type": "code", "execution_count": 70, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritativen_valid_education
460000-0003-1435-6545TrueTrue<NA><NA><NA>NaN<NA>[migration, culture cell, prostate cancer][[researcherid, p-2223-2018]][[morfologia, , universidade estadual paulista...[[, universidade estadual paulista (unesp), in...0NaN2018-08-09 12:12:24.405000+00:002020-04-22 01:38:03.184000+00:000000FalseNaNNaN[cnpq.br, linkedin.com]<NA>21311NaN<NA>False0.0
740000-0002-0427-9745TrueTruea. canincii am a professor of finance at bryant universi...NaN<NA>NaN[[researcherid, b-5471-2018], [scopus author i...[[finance, ph.d., university of michigan - ros...[[professor of finance, bryant university, smi...34[a. can inci]2018-01-20 02:58:05.199000+00:002020-06-16 12:35:09.403000+00:000000FalseNaNNaNNaN<NA><NA>2<NA>45[]0False0.0
880000-0002-3380-6671TrueTrueabdulasis pata<NA>NaN<NA>NaNNaN[[agribisnis, m.si, universitas hasanuddin, ma...[[s.p, universitas muslim maros, maros, , id, ...0NaN2018-02-12 02:08:37.018000+00:002018-02-12 02:22:33.378000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA>11NaN<NA>False0.0
980000-0001-6902-6549TrueTrueabubakarmuhammad<NA>NaN<NA>NaNNaN[[school of electrical and information enginee...[[lecturer, university of faisalabad, faisalab...1[multidisciplinary digital publishing institute]2017-07-06 10:29:17.738000+00:002020-08-01 05:18:53.393000+00:001000TrueNaNNaNNaN<NA><NA><NA><NA>11[multidisciplinary digital publishing institute]1True0.0
1010000-0002-6142-6406TrueTrueadammamadou<NA>NaN<NA>NaNNaN[[département deconomie sociologie rurale et t...[[, institut national de la recherche agronomi...0NaN2018-02-15 09:54:59.943000+00:002018-02-15 10:19:27.869000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA>11NaN<NA>False0.0
.........................................................................................................
109895950000-0002-1842-4130TrueTruejosé de jesúscázares-marinero<NA>[josé cázares]<NA>[chemistry, chemical biology, industrial chemi...[[researcherid, h-2597-2013], [scopus author i...[[charles friedel, postdoc, école nationale su...[[mtc, polioles, mexico, , mx, , ], [head of r...17[crossref metadata search, scopus - elsevier, ...2013-07-09 14:39:30.950000+00:002020-12-10 17:42:20.176000+00:00170029FalseNaNNaN[linkedin.com, google.com, researchgate.net]<NA>32533[crossref metadata search, scopus - elsevier]2True0.0
109896030000-0003-0459-4822TrueTrueluana<NA>mestranda em tecnologia na saúde e foi aluna o...[luana bastos morey]<NA>[tradução; língua espanhol; língua portuguesa;...NaN[[pós-graduação em tecnologia em saúde stricto...[[professora de espanhol e português para estr...7[luana arrial bastos]2017-05-11 13:14:59.372000+00:002020-12-08 20:18:24.163000+00:000000FalseNaNNaN[unidospelasaude.com.br, facebook.com, faceboo...<NA>4<NA>243[]0False3.0
109896050000-0003-0057-1551TrueTruelyudmylaantypenkothe phd degree of pharmacy was received under ...[lyudmila nikolaevna antipenko (russian transl...<NA>[structure elucidation, organic synthesis, val...[[scopus author id, 55070809900], [researcheri...[[centre for nanomaterials, advanced technolog...[[visiting scientist, north dakota state unive...35[crossref metadata search, scopus - elsevier, ...2014-02-19 08:15:15.698000+00:002020-12-09 18:14:17.963000+00:002801117TrueNaNNaNNaN<NA><NA>2578[crossref metadata search, scopus - elsevier, ...4True4.0
109896190000-0003-4653-4705TrueTruepatriciateixeira2005 - phd, university of coimbrajuly 2009-jun...NaN<NA>[estua, heavy metals, steroid hormones, ecotox...[[researcherid, i-6863-2013], [scopus author i...[[, phd, university of coimbra, coimbra, , pt,...[[senior researcher, university of coimbra, co...95[ciênciavitae, scopus - elsevier, pg cardoso, ...2013-11-26 10:59:34.331000+00:002020-12-02 15:28:26.221000+00:00900042FalseNaNNaNNaN<NA><NA>3713[ciênciavitae, scopus - elsevier, pg cardoso, ...4True0.0
109896440000-0002-1686-1935TrueTrueyouxiawangyouxia wang (1995-), native of zunyi, guizhou ...NaN<NA>NaNNaN[[institute of animal nutrition, master degree...[[master, sichuan agricultural university , ch...0NaN2020-12-11 02:11:51.808000+00:002020-12-11 03:25:28.263000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA>21NaN<NA>False1.0
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641229 rows × 34 columns

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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "46 0000-0003-1435-6545 True True \n", "74 0000-0002-0427-9745 True True \n", "88 0000-0002-3380-6671 True True \n", "98 0000-0001-6902-6549 True True \n", "101 0000-0002-6142-6406 True True \n", "... ... ... ... \n", "10989595 0000-0002-1842-4130 True True \n", "10989603 0000-0003-0459-4822 True True \n", "10989605 0000-0003-0057-1551 True True \n", "10989619 0000-0003-4653-4705 True True \n", "10989644 0000-0002-1686-1935 True True \n", "\n", " given_names family_name \\\n", "46 \n", "74 a. can inci \n", "88 abdul asis pata \n", "98 abubakar muhammad \n", "101 adam mamadou \n", "... ... ... \n", "10989595 josé de jesús cázares-marinero \n", "10989603 luana \n", "10989605 lyudmyla antypenko \n", "10989619 patricia teixeira \n", "10989644 youxia wang \n", "\n", " biography \\\n", "46 \n", "74 i am a professor of finance at bryant universi... \n", "88 \n", "98 \n", "101 \n", "... ... \n", "10989595 \n", "10989603 mestranda em tecnologia na saúde e foi aluna o... \n", "10989605 the phd degree of pharmacy was received under ... \n", "10989619 2005 - phd, university of coimbrajuly 2009-jun... \n", "10989644 youxia wang (1995-), native of zunyi, guizhou ... \n", "\n", " other_names primary_email \\\n", "46 NaN \n", "74 NaN \n", "88 NaN \n", "98 NaN \n", "101 NaN \n", "... ... ... \n", "10989595 [josé cázares] \n", "10989603 [luana bastos morey] \n", "10989605 [lyudmila nikolaevna antipenko (russian transl... \n", "10989619 NaN \n", "10989644 NaN \n", "\n", " keywords \\\n", "46 [migration, culture cell, prostate cancer] \n", "74 NaN \n", "88 NaN \n", "98 NaN \n", "101 NaN \n", "... ... \n", "10989595 [chemistry, chemical biology, industrial chemi... \n", "10989603 [tradução; língua espanhol; língua portuguesa;... \n", "10989605 [structure elucidation, organic synthesis, val... \n", "10989619 [estua, heavy metals, steroid hormones, ecotox... \n", "10989644 NaN \n", "\n", " external_ids \\\n", "46 [[researcherid, p-2223-2018]] \n", "74 [[researcherid, b-5471-2018], [scopus author i... \n", "88 NaN \n", "98 NaN \n", "101 NaN \n", "... ... \n", "10989595 [[researcherid, h-2597-2013], [scopus author i... \n", "10989603 NaN \n", "10989605 [[scopus author id, 55070809900], [researcheri... \n", "10989619 [[researcherid, i-6863-2013], [scopus author i... \n", "10989644 NaN \n", "\n", " education \\\n", "46 [[morfologia, , universidade estadual paulista... \n", "74 [[finance, ph.d., university of michigan - ros... \n", "88 [[agribisnis, m.si, universitas hasanuddin, ma... \n", "98 [[school of electrical and information enginee... \n", "101 [[département deconomie sociologie rurale et t... \n", "... ... \n", "10989595 [[charles friedel, postdoc, école nationale su... \n", "10989603 [[pós-graduação em tecnologia em saúde stricto... \n", "10989605 [[centre for nanomaterials, advanced technolog... \n", "10989619 [[, phd, university of coimbra, coimbra, , pt,... \n", "10989644 [[institute of animal nutrition, master degree... \n", "\n", " employment n_works \\\n", "46 [[, universidade estadual paulista (unesp), in... 0 \n", "74 [[professor of finance, bryant university, smi... 34 \n", "88 [[s.p, universitas muslim maros, maros, , id, ... 0 \n", "98 [[lecturer, university of faisalabad, faisalab... 1 \n", "101 [[, institut national de la recherche agronomi... 0 \n", "... ... ... \n", "10989595 [[mtc, polioles, mexico, , mx, , ], [head of r... 17 \n", "10989603 [[professora de espanhol e português para estr... 7 \n", "10989605 [[visiting scientist, north dakota state unive... 35 \n", "10989619 [[senior researcher, university of coimbra, co... 95 \n", "10989644 [[master, sichuan agricultural university , ch... 0 \n", "\n", " works_source \\\n", "46 NaN \n", "74 [a. can inci] \n", "88 NaN \n", "98 [multidisciplinary digital publishing institute] \n", "101 NaN \n", "... ... \n", "10989595 [crossref metadata search, scopus - elsevier, ... \n", "10989603 [luana arrial bastos] \n", "10989605 [crossref metadata search, scopus - elsevier, ... \n", "10989619 [ciênciavitae, scopus - elsevier, pg cardoso, ... \n", "10989644 NaN \n", "\n", " activation_date last_update_date \\\n", "46 2018-08-09 12:12:24.405000+00:00 2020-04-22 01:38:03.184000+00:00 \n", "74 2018-01-20 02:58:05.199000+00:00 2020-06-16 12:35:09.403000+00:00 \n", "88 2018-02-12 02:08:37.018000+00:00 2018-02-12 02:22:33.378000+00:00 \n", "98 2017-07-06 10:29:17.738000+00:00 2020-08-01 05:18:53.393000+00:00 \n", "101 2018-02-15 09:54:59.943000+00:00 2018-02-15 10:19:27.869000+00:00 \n", "... ... ... \n", "10989595 2013-07-09 14:39:30.950000+00:00 2020-12-10 17:42:20.176000+00:00 \n", "10989603 2017-05-11 13:14:59.372000+00:00 2020-12-08 20:18:24.163000+00:00 \n", "10989605 2014-02-19 08:15:15.698000+00:00 2020-12-09 18:14:17.963000+00:00 \n", "10989619 2013-11-26 10:59:34.331000+00:00 2020-12-02 15:28:26.221000+00:00 \n", "10989644 2020-12-11 02:11:51.808000+00:00 2020-12-11 03:25:28.263000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "46 0 0 0 0 False NaN \n", "74 0 0 0 0 False NaN \n", "88 0 0 0 0 False NaN \n", "98 1 0 0 0 True NaN \n", "101 0 0 0 0 False NaN \n", "... ... ... ... ... ... ... \n", "10989595 17 0 0 29 False NaN \n", "10989603 0 0 0 0 False NaN \n", "10989605 28 0 11 17 True NaN \n", "10989619 90 0 0 42 False NaN \n", "10989644 0 0 0 0 False NaN \n", "\n", " other_email_domains \\\n", "46 NaN \n", "74 NaN \n", "88 NaN \n", "98 NaN \n", "101 NaN \n", "... ... \n", "10989595 NaN \n", "10989603 NaN \n", "10989605 NaN \n", "10989619 NaN \n", "10989644 NaN \n", "\n", " url_domains n_emails n_urls \\\n", "46 [cnpq.br, linkedin.com] 2 \n", "74 NaN \n", "88 NaN \n", "98 NaN \n", "101 NaN \n", "... ... ... ... \n", "10989595 [linkedin.com, google.com, researchgate.net] 3 \n", "10989603 [unidospelasaude.com.br, facebook.com, faceboo... 4 \n", "10989605 NaN \n", "10989619 NaN \n", "10989644 NaN \n", "\n", " n_ids n_keywords n_education n_employment \\\n", "46 1 3 1 1 \n", "74 2 4 5 \n", "88 1 1 \n", "98 1 1 \n", "101 1 1 \n", "... ... ... ... ... \n", "10989595 2 5 3 3 \n", "10989603 2 4 3 \n", "10989605 2 5 7 8 \n", "10989619 3 7 1 3 \n", "10989644 2 1 \n", "\n", " ext_works_source \\\n", "46 NaN \n", "74 [] \n", "88 NaN \n", "98 [multidisciplinary digital publishing institute] \n", "101 NaN \n", "... ... \n", "10989595 [crossref metadata search, scopus - elsevier] \n", "10989603 [] \n", "10989605 [crossref metadata search, scopus - elsevier, ... \n", "10989619 [ciênciavitae, scopus - elsevier, pg cardoso, ... \n", "10989644 NaN \n", "\n", " n_ext_work_source authoritative n_valid_education \n", "46 False 0.0 \n", "74 0 False 0.0 \n", "88 False 0.0 \n", "98 1 True 0.0 \n", "101 False 0.0 \n", "... ... ... ... \n", "10989595 2 True 0.0 \n", "10989603 0 False 3.0 \n", "10989605 4 True 4.0 \n", "10989619 4 True 0.0 \n", "10989644 False 1.0 \n", "\n", "[641229 rows x 34 columns]" ] }, "execution_count": 70, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.n_education != df.n_valid_education]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Employment" ] }, { "cell_type": "code", "execution_count": 71, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 2.680488e+06\n", "mean 1.664713e+00\n", "std 1.530077e+00\n", "min 1.000000e+00\n", "25% 1.000000e+00\n", "50% 1.000000e+00\n", "75% 2.000000e+00\n", "max 1.980000e+02\n", "Name: n_employment, dtype: float64" ] }, "execution_count": 71, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.n_employment.describe()" ] }, { "cell_type": "code", "execution_count": 72, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritativen_valid_education
82894320000-0002-0293-964XTrueTrueben zhongtang<NA>[唐本忠]tangbenz@ust.hk[nanotechnology, fluorescent biosensors, optic...[[hkust profile, tang-benzhong], [researcherid...[[department of chemistry and faculty of pharm...[[chair professor, division of biomedical engi...422[tang, benzhong, crossref]2015-03-13 00:28:33.270000+00:002021-03-23 07:56:34.824000+00:00359000Falseust.hkNaN[ust.hk]<NA>1377198[crossref]1True3.0
\n", "
" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "8289432 0000-0002-0293-964X True True \n", "\n", " given_names family_name biography other_names primary_email \\\n", "8289432 ben zhong tang [唐本忠] tangbenz@ust.hk \n", "\n", " keywords \\\n", "8289432 [nanotechnology, fluorescent biosensors, optic... \n", "\n", " external_ids \\\n", "8289432 [[hkust profile, tang-benzhong], [researcherid... \n", "\n", " education \\\n", "8289432 [[department of chemistry and faculty of pharm... \n", "\n", " employment n_works \\\n", "8289432 [[chair professor, division of biomedical engi... 422 \n", "\n", " works_source activation_date \\\n", "8289432 [tang, benzhong, crossref] 2015-03-13 00:28:33.270000+00:00 \n", "\n", " last_update_date n_doi n_arxiv n_pmc n_other_pids \\\n", "8289432 2021-03-23 07:56:34.824000+00:00 359 0 0 0 \n", "\n", " label primary_email_domain other_email_domains url_domains n_emails \\\n", "8289432 False ust.hk NaN [ust.hk] \n", "\n", " n_urls n_ids n_keywords n_education n_employment \\\n", "8289432 1 3 7 7 198 \n", "\n", " ext_works_source n_ext_work_source authoritative n_valid_education \n", "8289432 [crossref] 1 True 3.0 " ] }, "execution_count": 72, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.n_employment == df.n_employment.max()]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's count how many employments have a valid assigned id by orcid (ringols, isni, grid, etc.)" ] }, { "cell_type": "code", "execution_count": 73, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidemployment
10000-0001-6112-5550[professor, peoples friendship university of r...
30000-0001-6220-5683[research scientist, new york university abu d...
40000-0001-7071-8294[researcher (academic), universidad de zaragoz...
40000-0001-7071-8294[researcher (academic), instituto de síntesis ...
60000-0001-7402-0096[, kth royal institute of technology, stockhol...
.........
109896430000-0003-2606-0936[post-doc, institute of biochemistry and cell ...
109896440000-0002-1686-1935[master, sichuan agricultural university , che...
109896450000-0002-3800-6331[assistant professor, baruch college, city uni...
109896450000-0002-3800-6331[postdoctoral scholar, university of californi...
109896470000-0002-7584-2283[lecturer, henan institute of science and tech...
\n", "

4462243 rows × 2 columns

\n", "
" ], "text/plain": [ " orcid \\\n", "1 0000-0001-6112-5550 \n", "3 0000-0001-6220-5683 \n", "4 0000-0001-7071-8294 \n", "4 0000-0001-7071-8294 \n", "6 0000-0001-7402-0096 \n", "... ... \n", "10989643 0000-0003-2606-0936 \n", "10989644 0000-0002-1686-1935 \n", "10989645 0000-0002-3800-6331 \n", "10989645 0000-0002-3800-6331 \n", "10989647 0000-0002-7584-2283 \n", "\n", " employment \n", "1 [professor, peoples friendship university of r... \n", "3 [research scientist, new york university abu d... \n", "4 [researcher (academic), universidad de zaragoz... \n", "4 [researcher (academic), instituto de síntesis ... \n", "6 [, kth royal institute of technology, stockhol... \n", "... ... \n", "10989643 [post-doc, institute of biochemistry and cell ... \n", "10989644 [master, sichuan agricultural university , che... \n", "10989645 [assistant professor, baruch college, city uni... \n", "10989645 [postdoctoral scholar, university of californi... \n", "10989647 [lecturer, henan institute of science and tech... \n", "\n", "[4462243 rows x 2 columns]" ] }, "execution_count": 73, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exploded_employment = df[['orcid', 'employment']].explode('employment').dropna()\n", "exploded_employment" ] }, { "cell_type": "code", "execution_count": 74, "metadata": {}, "outputs": [], "source": [ "exploded_employment[['role', 'institution', 'city', 'region', 'country', 'id', 'id_scheme']] = pd.DataFrame(exploded_employment.employment.tolist(), index=exploded_employment.index)" ] }, { "cell_type": "code", "execution_count": 75, "metadata": {}, "outputs": [], "source": [ "exploded_employment.id.replace('', pd.NA, inplace=True)" ] }, { "cell_type": "code", "execution_count": 76, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidid
00000-0001-5000-00311
10000-0001-5000-01381
20000-0001-5000-01702
30000-0001-5000-02181
40000-0001-5000-02261
.........
26804830000-0003-4999-98311
26804840000-0003-4999-98901
26804850000-0003-4999-992X0
26804860000-0003-4999-99381
26804870000-0003-4999-99542
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2680488 rows × 2 columns

\n", "
" ], "text/plain": [ " orcid id\n", "0 0000-0001-5000-0031 1\n", "1 0000-0001-5000-0138 1\n", "2 0000-0001-5000-0170 2\n", "3 0000-0001-5000-0218 1\n", "4 0000-0001-5000-0226 1\n", "... ... ..\n", "2680483 0000-0003-4999-9831 1\n", "2680484 0000-0003-4999-9890 1\n", "2680485 0000-0003-4999-992X 0\n", "2680486 0000-0003-4999-9938 1\n", "2680487 0000-0003-4999-9954 2\n", "\n", "[2680488 rows x 2 columns]" ] }, "execution_count": 76, "metadata": {}, "output_type": "execute_result" } ], "source": [ "exploded_employment.groupby('orcid').id.count().reset_index()" ] }, { "cell_type": "code", "execution_count": 77, "metadata": {}, "outputs": [], "source": [ "df = df.merge(exploded_employment.groupby('orcid').id.count().reset_index(), on='orcid', how='left')\n", "df.rename(columns={'id': 'n_valid_employment'}, inplace=True)" ] }, { "cell_type": "code", "execution_count": 78, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritativen_valid_educationn_valid_employment
30000-0001-6220-5683TrueTrue<NA><NA><NA>NaN<NA>NaNNaNNaN[[research scientist, new york university abu ...0NaN2015-08-18 12:36:45.307000+00:002020-09-23 13:37:54.180000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA>1NaN<NA>FalseNaN0.0
40000-0001-7071-8294TrueTrue<NA><NA><NA>NaN<NA>NaNNaNNaN[[researcher (academic), universidad de zarago...0NaN2014-03-10 13:22:01.966000+00:002016-06-14 22:17:54.470000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA>2NaN<NA>FalseNaN1.0
60000-0001-7402-0096TrueTrue<NA><NA><NA>NaN<NA>NaNNaNNaN[[, kth royal institute of technology, stockho...0NaN2015-01-11 15:13:06.467000+00:002016-06-14 23:55:59.896000+00:000000FalseNaNNaN[kth.se]<NA>1<NA><NA><NA>1NaN<NA>FalseNaN0.0
110000-0001-8377-3508TrueTrue<NA><NA><NA>[fontana, milena da silva]<NA>[educação; informática; matemática.]NaNNaN[[, instituto federal de educação, ciência e t...0NaN2018-05-23 23:39:04.534000+00:002019-10-16 02:50:11.007000+00:000000FalseNaNNaN[cnpq.br]<NA>1<NA>1<NA>3NaN<NA>FalseNaN0.0
380000-0002-6508-6998TrueTrue<NA><NA><NA>NaN<NA>NaNNaNNaN[[researcher (academic), universidad de zarago...0NaN2014-03-12 08:23:22.492000+00:002015-07-27 15:51:38.411000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA><NA>2NaN<NA>FalseNaN1.0
............................................................................................................
109896320000-0001-9133-2366TrueTruesørenstaugaard<NA>NaN<NA>NaNNaN[[, , aarhus universitet, aarhus, , dk, 1006, ...[[, aarhus university, aarhus c, , dk, , ], [s...29[aarhus university, crossref]2013-03-19 11:34:48.477000+00:002020-12-07 08:03:23.190000+00:001401035TrueNaNNaN[au.dk, au.dk]<NA>2<NA><NA>13[aarhus university, crossref]2True1.01.0
109896340000-0001-8494-2123TrueTruetarunjain<NA>NaN<NA>[pet/ct specialist; nuclear medicine physician...NaNNaN[[assistant professor, mahatma gandhi medical ...0NaN2014-12-19 08:21:46.292000+00:002020-12-09 06:03:57.055000+00:000000FalseNaNNaNNaN<NA><NA><NA>1<NA>5NaN<NA>FalseNaN4.0
109896360000-0002-2906-0299TrueTruetiffanymackay<NA>[tiffany russel sia]<NA>[prostate cancer, oxytocin, pet/ct, gpc-1, gal...[[researcherid, a-2121-2017]][[faculty of medicine, master in pharmaceutica...[[clinical project lead, minomic international...11[crossref, researcherid, tiffany mackay]2017-01-03 23:28:48.736000+00:002020-12-09 17:12:20.326000+00:0011000TrueNaNNaN[oxytocin.com.au, linkedin.com]<NA>211324[crossref, researcherid]2True2.01.0
109896390000-0002-4422-4036TrueTruevijaykrishnan<NA>NaN<NA>NaNNaN[[psychiatry, md, all india institute of medic...[[assistant professor, all india institute of ...2[crossref]2015-05-28 17:24:39.519000+00:002020-11-24 08:57:22.875000+00:002000FalseNaNNaNNaN<NA><NA><NA><NA>25[crossref]1True2.03.0
109896450000-0002-3800-6331TrueTruezacharycalamari<NA>NaN<NA>NaNNaN[[richard gilder graduate school, phd in compa...[[assistant professor, baruch college, city un...7[crossref metadata search, zachary t. calamari...2015-01-20 20:20:17.042000+00:002020-11-21 19:48:36.221000+00:007010TrueNaNNaNNaN<NA><NA><NA><NA>22[crossref metadata search, crossref]2True2.00.0
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1036967 rows × 35 columns

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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "3 0000-0001-6220-5683 True True \n", "4 0000-0001-7071-8294 True True \n", "6 0000-0001-7402-0096 True True \n", "11 0000-0001-8377-3508 True True \n", "38 0000-0002-6508-6998 True True \n", "... ... ... ... \n", "10989632 0000-0001-9133-2366 True True \n", "10989634 0000-0001-8494-2123 True True \n", "10989636 0000-0002-2906-0299 True True \n", "10989639 0000-0002-4422-4036 True True \n", "10989645 0000-0002-3800-6331 True True \n", "\n", " given_names family_name biography other_names \\\n", "3 NaN \n", "4 NaN \n", "6 NaN \n", "11 [fontana, milena da silva] \n", "38 NaN \n", "... ... ... ... ... \n", "10989632 søren staugaard NaN \n", "10989634 tarun jain NaN \n", "10989636 tiffany mackay [tiffany russel sia] \n", "10989639 vijay krishnan NaN \n", "10989645 zachary calamari NaN \n", "\n", " primary_email keywords \\\n", "3 NaN \n", "4 NaN \n", "6 NaN \n", "11 [educação; informática; matemática.] \n", "38 NaN \n", "... ... ... \n", "10989632 NaN \n", "10989634 [pet/ct specialist; nuclear medicine physician... \n", "10989636 [prostate cancer, oxytocin, pet/ct, gpc-1, gal... \n", "10989639 NaN \n", "10989645 NaN \n", "\n", " external_ids \\\n", "3 NaN \n", "4 NaN \n", "6 NaN \n", "11 NaN \n", "38 NaN \n", "... ... \n", "10989632 NaN \n", "10989634 NaN \n", "10989636 [[researcherid, a-2121-2017]] \n", "10989639 NaN \n", "10989645 NaN \n", "\n", " education \\\n", "3 NaN \n", "4 NaN \n", "6 NaN \n", "11 NaN \n", "38 NaN \n", "... ... \n", "10989632 [[, , aarhus universitet, aarhus, , dk, 1006, ... \n", "10989634 NaN \n", "10989636 [[faculty of medicine, master in pharmaceutica... \n", "10989639 [[psychiatry, md, all india institute of medic... \n", "10989645 [[richard gilder graduate school, phd in compa... \n", "\n", " employment n_works \\\n", "3 [[research scientist, new york university abu ... 0 \n", "4 [[researcher (academic), universidad de zarago... 0 \n", "6 [[, kth royal institute of technology, stockho... 0 \n", "11 [[, instituto federal de educação, ciência e t... 0 \n", "38 [[researcher (academic), universidad de zarago... 0 \n", "... ... ... \n", "10989632 [[, aarhus university, aarhus c, , dk, , ], [s... 29 \n", "10989634 [[assistant professor, mahatma gandhi medical ... 0 \n", "10989636 [[clinical project lead, minomic international... 11 \n", "10989639 [[assistant professor, all india institute of ... 2 \n", "10989645 [[assistant professor, baruch college, city un... 7 \n", "\n", " works_source \\\n", "3 NaN \n", "4 NaN \n", "6 NaN \n", "11 NaN \n", "38 NaN \n", "... ... \n", "10989632 [aarhus university, crossref] \n", "10989634 NaN \n", "10989636 [crossref, researcherid, tiffany mackay] \n", "10989639 [crossref] \n", "10989645 [crossref metadata search, zachary t. calamari... \n", "\n", " activation_date last_update_date \\\n", "3 2015-08-18 12:36:45.307000+00:00 2020-09-23 13:37:54.180000+00:00 \n", "4 2014-03-10 13:22:01.966000+00:00 2016-06-14 22:17:54.470000+00:00 \n", "6 2015-01-11 15:13:06.467000+00:00 2016-06-14 23:55:59.896000+00:00 \n", "11 2018-05-23 23:39:04.534000+00:00 2019-10-16 02:50:11.007000+00:00 \n", "38 2014-03-12 08:23:22.492000+00:00 2015-07-27 15:51:38.411000+00:00 \n", "... ... ... \n", "10989632 2013-03-19 11:34:48.477000+00:00 2020-12-07 08:03:23.190000+00:00 \n", "10989634 2014-12-19 08:21:46.292000+00:00 2020-12-09 06:03:57.055000+00:00 \n", "10989636 2017-01-03 23:28:48.736000+00:00 2020-12-09 17:12:20.326000+00:00 \n", "10989639 2015-05-28 17:24:39.519000+00:00 2020-11-24 08:57:22.875000+00:00 \n", "10989645 2015-01-20 20:20:17.042000+00:00 2020-11-21 19:48:36.221000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "3 0 0 0 0 False NaN \n", "4 0 0 0 0 False NaN \n", "6 0 0 0 0 False NaN \n", "11 0 0 0 0 False NaN \n", "38 0 0 0 0 False NaN \n", "... ... ... ... ... ... ... \n", "10989632 14 0 10 35 True NaN \n", "10989634 0 0 0 0 False NaN \n", "10989636 11 0 0 0 True NaN \n", "10989639 2 0 0 0 False NaN \n", "10989645 7 0 1 0 True NaN \n", "\n", " other_email_domains url_domains n_emails \\\n", "3 NaN NaN \n", "4 NaN NaN \n", "6 NaN [kth.se] \n", "11 NaN [cnpq.br] \n", "38 NaN NaN \n", "... ... ... ... \n", "10989632 NaN [au.dk, au.dk] \n", "10989634 NaN NaN \n", "10989636 NaN [oxytocin.com.au, linkedin.com] \n", "10989639 NaN NaN \n", "10989645 NaN NaN \n", "\n", " n_urls n_ids n_keywords n_education n_employment \\\n", "3 1 \n", "4 2 \n", "6 1 1 \n", "11 1 1 3 \n", "38 2 \n", "... ... ... ... ... ... \n", "10989632 2 1 3 \n", "10989634 1 5 \n", "10989636 2 1 13 2 4 \n", "10989639 2 5 \n", "10989645 2 2 \n", "\n", " ext_works_source n_ext_work_source \\\n", "3 NaN \n", "4 NaN \n", "6 NaN \n", "11 NaN \n", "38 NaN \n", "... ... ... \n", "10989632 [aarhus university, crossref] 2 \n", "10989634 NaN \n", "10989636 [crossref, researcherid] 2 \n", "10989639 [crossref] 1 \n", "10989645 [crossref metadata search, crossref] 2 \n", "\n", " authoritative n_valid_education n_valid_employment \n", "3 False NaN 0.0 \n", "4 False NaN 1.0 \n", "6 False NaN 0.0 \n", "11 False NaN 0.0 \n", "38 False NaN 1.0 \n", "... ... ... ... \n", "10989632 True 1.0 1.0 \n", "10989634 False NaN 4.0 \n", "10989636 True 2.0 1.0 \n", "10989639 True 2.0 3.0 \n", "10989645 True 2.0 0.0 \n", "\n", "[1036967 rows x 35 columns]" ] }, "execution_count": 78, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.n_employment != df.n_valid_employment]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Biography" ] }, { "cell_type": "code", "execution_count": 79, "metadata": {}, "outputs": [], "source": [ "df.biography.replace('', np.NaN, inplace=True)" ] }, { "cell_type": "code", "execution_count": 80, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 354015\n", "unique 337007\n", "top car title loans are a more straightforward way...\n", "freq 343\n", "Name: biography, dtype: object" ] }, "execution_count": 80, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.biography.describe()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's also fabricate a few other features from biographies." ] }, { "cell_type": "code", "execution_count": 81, "metadata": {}, "outputs": [], "source": [ "df['biography_length'] = df.biography.str.len()" ] }, { "cell_type": "code", "execution_count": 82, "metadata": {}, "outputs": [], "source": [ "df['biography_n_sentences'] = df[df.biography.notna()].biography.apply(lambda bio: len(sent_tokenize(bio)))" ] }, { "cell_type": "code", "execution_count": 83, "metadata": {}, "outputs": [], "source": [ "df['biography_n_words'] = df[df.biography.notna()].biography.apply(lambda bio: len(word_tokenize(bio)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Duplicated bios**" ] }, { "cell_type": "code", "execution_count": 84, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritativen_valid_educationn_valid_employmentbiography_lengthbiography_n_sentencesbiography_n_words
513060000-0002-7397-7977TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan upland]NaNNaNNaN0NaN2020-11-06 06:10:20.070000+00:002020-11-06 06:24:28.005000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
513070000-0003-4931-9736TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan saratoga]NaNNaNNaN0NaN2020-11-13 01:04:19.859000+00:002020-11-13 01:15:12.546000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
1060240000-0001-8221-2303TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan victorville]NaNNaNNaN0NaN2020-11-05 00:38:21.096000+00:002020-11-05 00:40:40.091000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
1087700000-0001-6736-072XTrueTruepremium cartitle loanscar title loans are a more straightforward way...NaN<NA>NaNNaNNaNNaN0NaN2020-12-08 05:38:30.786000+00:002020-12-08 05:40:03.786000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA><NA><NA><NA>NaN<NA>FalseNaNNaN5424.0105.0
1087710000-0002-8727-1246TrueTruepremium cartitle loanscar title loans are a more straightforward way...[loan agency]<NA>[title loan on car, car title loan north ogden...NaNNaNNaN0NaN2020-12-10 08:54:56.127000+00:002020-12-10 08:57:15.791000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>4<NA><NA>NaN<NA>FalseNaNNaN5634.0108.0
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108754160000-0002-9640-8136TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan clovis]NaNNaNNaN0NaN2020-10-22 06:11:02.945000+00:002020-10-22 06:17:09.111000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
108782390000-0002-6926-3752TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan escondido]NaNNaNNaN0NaN2020-12-03 02:00:33.684000+00:002020-12-03 02:02:07.054000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
109333800000-0002-3655-4713TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan san rafael]NaNNaNNaN0NaN2020-11-18 00:39:17.492000+00:002020-11-18 00:52:19.024000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
109333810000-0002-8724-1020TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan san juan capistrano]NaNNaNNaN0NaN2020-11-19 00:31:54.080000+00:002020-11-19 00:34:08.721000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
109859860000-0002-4601-4569TrueTruepremium cartitle loanscar title loans are a more straightforward way...[premium car title loans]<NA>[car title loan mount pleasant]NaNNaNNaN0NaN2020-10-16 00:32:26.207000+00:002020-10-16 00:37:42.646000+00:000000FalseNaNNaN[premiumcartitleloans.com]<NA>1<NA>1<NA><NA>NaN<NA>FalseNaNNaN4454.085.0
\n", "

421 rows × 38 columns

\n", "
" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "51306 0000-0002-7397-7977 True True \n", "51307 0000-0003-4931-9736 True True \n", "106024 0000-0001-8221-2303 True True \n", "108770 0000-0001-6736-072X True True \n", "108771 0000-0002-8727-1246 True True \n", "... ... ... ... \n", "10875416 0000-0002-9640-8136 True True \n", "10878239 0000-0002-6926-3752 True True \n", "10933380 0000-0002-3655-4713 True True \n", "10933381 0000-0002-8724-1020 True True \n", "10985986 0000-0002-4601-4569 True True \n", "\n", " given_names family_name \\\n", "51306 premium car title loans \n", "51307 premium car title loans \n", "106024 premium car title loans \n", "108770 premium car title loans \n", "108771 premium car title loans \n", "... ... ... \n", "10875416 premium car title loans \n", "10878239 premium car title loans \n", "10933380 premium car title loans \n", "10933381 premium car title loans \n", "10985986 premium car title loans \n", "\n", " biography \\\n", "51306 car title loans are a more straightforward way... \n", "51307 car title loans are a more straightforward way... \n", "106024 car title loans are a more straightforward way... \n", "108770 car title loans are a more straightforward way... \n", "108771 car title loans are a more straightforward way... \n", "... ... \n", "10875416 car title loans are a more straightforward way... \n", "10878239 car title loans are a more straightforward way... \n", "10933380 car title loans are a more straightforward way... \n", "10933381 car title loans are a more straightforward way... \n", "10985986 car title loans are a more straightforward way... \n", "\n", " other_names primary_email \\\n", "51306 [premium car title loans] \n", "51307 [premium car title loans] \n", "106024 [premium car title loans] \n", "108770 NaN \n", "108771 [loan agency] \n", "... ... ... \n", "10875416 [premium car title loans] \n", "10878239 [premium car title loans] \n", "10933380 [premium car title loans] \n", "10933381 [premium car title loans] \n", "10985986 [premium car title loans] \n", "\n", " keywords external_ids \\\n", "51306 [car title loan upland] NaN \n", "51307 [car title loan saratoga] NaN \n", "106024 [car title loan victorville] NaN \n", "108770 NaN NaN \n", "108771 [title loan on car, car title loan north ogden... NaN \n", "... ... ... \n", "10875416 [car title loan clovis] NaN \n", "10878239 [car title loan escondido] NaN \n", "10933380 [car title loan san rafael] NaN \n", "10933381 [car title loan san juan capistrano] NaN \n", "10985986 [car title loan mount pleasant] NaN \n", "\n", " education employment n_works works_source \\\n", "51306 NaN NaN 0 NaN \n", "51307 NaN NaN 0 NaN \n", "106024 NaN NaN 0 NaN \n", "108770 NaN NaN 0 NaN \n", "108771 NaN NaN 0 NaN \n", "... ... ... ... ... \n", "10875416 NaN NaN 0 NaN \n", "10878239 NaN NaN 0 NaN \n", "10933380 NaN NaN 0 NaN \n", "10933381 NaN NaN 0 NaN \n", "10985986 NaN NaN 0 NaN \n", "\n", " activation_date last_update_date \\\n", "51306 2020-11-06 06:10:20.070000+00:00 2020-11-06 06:24:28.005000+00:00 \n", "51307 2020-11-13 01:04:19.859000+00:00 2020-11-13 01:15:12.546000+00:00 \n", "106024 2020-11-05 00:38:21.096000+00:00 2020-11-05 00:40:40.091000+00:00 \n", "108770 2020-12-08 05:38:30.786000+00:00 2020-12-08 05:40:03.786000+00:00 \n", "108771 2020-12-10 08:54:56.127000+00:00 2020-12-10 08:57:15.791000+00:00 \n", "... ... ... \n", "10875416 2020-10-22 06:11:02.945000+00:00 2020-10-22 06:17:09.111000+00:00 \n", "10878239 2020-12-03 02:00:33.684000+00:00 2020-12-03 02:02:07.054000+00:00 \n", "10933380 2020-11-18 00:39:17.492000+00:00 2020-11-18 00:52:19.024000+00:00 \n", "10933381 2020-11-19 00:31:54.080000+00:00 2020-11-19 00:34:08.721000+00:00 \n", "10985986 2020-10-16 00:32:26.207000+00:00 2020-10-16 00:37:42.646000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "51306 0 0 0 0 False NaN \n", "51307 0 0 0 0 False NaN \n", "106024 0 0 0 0 False NaN \n", "108770 0 0 0 0 False NaN \n", "108771 0 0 0 0 False NaN \n", "... ... ... ... ... ... ... \n", "10875416 0 0 0 0 False NaN \n", "10878239 0 0 0 0 False NaN \n", "10933380 0 0 0 0 False NaN \n", "10933381 0 0 0 0 False NaN \n", "10985986 0 0 0 0 False NaN \n", "\n", " other_email_domains url_domains n_emails n_urls \\\n", "51306 NaN [premiumcartitleloans.com] 1 \n", "51307 NaN [premiumcartitleloans.com] 1 \n", "106024 NaN [premiumcartitleloans.com] 1 \n", "108770 NaN [premiumcartitleloans.com] 1 \n", "108771 NaN [premiumcartitleloans.com] 1 \n", "... ... ... ... ... \n", "10875416 NaN [premiumcartitleloans.com] 1 \n", "10878239 NaN [premiumcartitleloans.com] 1 \n", "10933380 NaN [premiumcartitleloans.com] 1 \n", "10933381 NaN [premiumcartitleloans.com] 1 \n", "10985986 NaN [premiumcartitleloans.com] 1 \n", "\n", " n_ids n_keywords n_education n_employment ext_works_source \\\n", "51306 1 NaN \n", "51307 1 NaN \n", "106024 1 NaN \n", "108770 NaN \n", "108771 4 NaN \n", "... ... ... ... ... ... \n", "10875416 1 NaN \n", "10878239 1 NaN \n", "10933380 1 NaN \n", "10933381 1 NaN \n", "10985986 1 NaN \n", "\n", " n_ext_work_source authoritative n_valid_education \\\n", "51306 False NaN \n", "51307 False NaN \n", "106024 False NaN \n", "108770 False NaN \n", "108771 False NaN \n", "... ... ... ... \n", "10875416 False NaN \n", "10878239 False NaN \n", "10933380 False NaN \n", "10933381 False NaN \n", "10985986 False NaN \n", "\n", " n_valid_employment biography_length biography_n_sentences \\\n", "51306 NaN 445 4.0 \n", "51307 NaN 445 4.0 \n", "106024 NaN 445 4.0 \n", "108770 NaN 542 4.0 \n", "108771 NaN 563 4.0 \n", "... ... ... ... \n", "10875416 NaN 445 4.0 \n", "10878239 NaN 445 4.0 \n", "10933380 NaN 445 4.0 \n", "10933381 NaN 445 4.0 \n", "10985986 NaN 445 4.0 \n", "\n", " biography_n_words \n", "51306 85.0 \n", "51307 85.0 \n", "106024 85.0 \n", "108770 105.0 \n", "108771 108.0 \n", "... ... \n", "10875416 85.0 \n", "10878239 85.0 \n", "10933380 85.0 \n", "10933381 85.0 \n", "10985986 85.0 \n", "\n", "[421 rows x 38 columns]" ] }, "execution_count": 84, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[(df.biography.notna()) & (df.biography.str.contains('car title loans are a more straightforward'))]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's note them down" ] }, { "cell_type": "code", "execution_count": 85, "metadata": {}, "outputs": [], "source": [ "i = 0\n", "for orcid in df[(df.biography.notna()) & (df.biography.str.contains('car title loans are a more straightforward'))]['orcid']:\n", " FAKE_HEAP['carloan_' + str(i)] = orcid\n", " i = i+1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's check deeper into duplicated bios" ] }, { "cell_type": "code", "execution_count": 86, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritativen_valid_educationn_valid_employmentbiography_lengthbiography_n_sentencesbiography_n_words
6130000-0001-6750-1481TrueTrueaestheticrecordmake your practice easy with a professional so...NaN<NA>NaNNaNNaNNaN0NaN2020-09-28 09:13:52.705000+00:002020-09-28 09:17:36.855000+00:000000FalseNaNNaN[aestheticrecord.com]<NA>1<NA><NA><NA><NA>NaN<NA>FalseNaNNaN1652.028.0
11450000-0001-9243-2342TrueTruealfonsoruiz-bravo lopezpersonal docente e investigador de la universi...NaN<NA>NaNNaNNaN[[, universidad de granada, granada, andalucia...1[crossref]2015-01-19 13:01:31.041000+00:002020-03-10 10:17:07.174000+00:001000TrueNaNNaN[ugr.es]<NA>1<NA><NA><NA>1[crossref]1TrueNaN0.01271.019.0
15190000-0002-3192-1481TrueTrueamyspahnresearch administratorNaN<NA>NaNNaN[[graduate studies, master of science in admin...[[research and program administrator, michigan...0NaN2020-05-04 18:55:27.062000+00:002020-08-04 14:52:03.330000+00:000000FalseNaNNaNNaN<NA><NA><NA><NA>23NaN<NA>False2.02.0221.02.0
22690000-0002-6104-6550TrueTrueantoniomartinezpersonal docente e investigador de la universi...NaN<NA>NaN[[researcherid, e-9723-2016]][[geometria y topologia, , universidad de gran...[[, universidad de granada, granada, andalucia...51[researcherid, crossref]2015-02-08 18:57:35.978000+00:002020-07-20 07:50:58.740000+00:00350046TrueNaNNaN[ugr.es]<NA>11<NA>11[researcherid, crossref]2True1.00.01411.021.0
61630000-0003-0171-7962TrueTrueeduardoortega bernaldo de quirospersonal docente e investigador de la universi...NaN<NA>NaNNaNNaN[[, universidad de granada, granada, andalucia...0NaN2015-06-01 08:43:00.352000+00:002017-06-19 07:44:32.649000+00:000000FalseNaNNaN[ugr.es]<NA>1<NA><NA><NA>1NaN<NA>FalseNaN0.01431.022.0
.....................................................................................................................
109884610000-0002-7632-8868TrueTruemargaritalopez-viota gallardopersonal docente e investigador de la universi...NaNmlvg@ugr.esNaNNaNNaN[[, universidad de granada, granada, andalucia...0NaN2015-07-29 07:17:22.959000+00:002020-11-26 19:55:46.827000+00:000000Falseugr.esNaN[ugr.es]<NA>1<NA><NA><NA>1NaN<NA>FalseNaN0.01221.019.0
109885100000-0001-5504-2767TrueTruemaría nievesgonzález pérezpersonal docente e investigador de la universi...NaN<NA>NaNNaN[[lengua española, doctora en estudios lingüís...[[profesor asociado, universidad de castilla-l...2[mla international bibliography, maría nieves ...2015-07-09 23:19:08.782000+00:002020-12-08 14:01:30.548000+00:000001FalseNaNNaN[uclm.es]<NA>1<NA><NA>11[mla international bibliography]1True1.01.01301.019.0
109889220000-0001-9501-3717TrueTrueroxannlynseyeen korte inleiding op waterverwarmingstoestel...NaN<NA>NaNNaNNaNNaN0NaN2020-12-10 21:40:39.371000+00:002020-12-10 21:49:33.129000+00:000000FalseNaNNaN[zonneboilermagazijn.nl]<NA>1<NA><NA><NA><NA>NaN<NA>FalseNaNNaN1511.022.0
109889290000-0003-2323-4005TrueTruerulandstartentu saja semua permainan yang disediakan aka...NaN<NA>NaNNaNNaNNaN0NaN2020-11-24 13:18:00.296000+00:002020-11-24 13:21:10.985000+00:000000FalseNaNNaN[google.com]<NA>1<NA><NA><NA><NA>NaN<NA>FalseNaNNaN1501.024.0
109890730000-0003-4244-0381TrueTruesumikocesarwelcome to my page! im still finding my way ar...NaN<NA>NaNNaNNaNNaN0NaN2020-12-13 00:34:15.955000+00:002020-12-13 00:37:21.793000+00:000000FalseNaNNaN[139.59.245.36]<NA>1<NA><NA><NA><NA>NaN<NA>FalseNaNNaN982.021.0
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19571 rows × 38 columns

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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "613 0000-0001-6750-1481 True True \n", "1145 0000-0001-9243-2342 True True \n", "1519 0000-0002-3192-1481 True True \n", "2269 0000-0002-6104-6550 True True \n", "6163 0000-0003-0171-7962 True True \n", "... ... ... ... \n", "10988461 0000-0002-7632-8868 True True \n", "10988510 0000-0001-5504-2767 True True \n", "10988922 0000-0001-9501-3717 True True \n", "10988929 0000-0003-2323-4005 True True \n", "10989073 0000-0003-4244-0381 True True \n", "\n", " given_names family_name \\\n", "613 aesthetic record \n", "1145 alfonso ruiz-bravo lopez \n", "1519 amy spahn \n", "2269 antonio martinez \n", "6163 eduardo ortega bernaldo de quiros \n", "... ... ... \n", "10988461 margarita lopez-viota gallardo \n", "10988510 maría nieves gonzález pérez \n", "10988922 roxann lynsey \n", "10988929 ruland star \n", "10989073 sumiko cesar \n", "\n", " biography other_names \\\n", "613 make your practice easy with a professional so... NaN \n", "1145 personal docente e investigador de la universi... NaN \n", "1519 research administrator NaN \n", "2269 personal docente e investigador de la universi... NaN \n", "6163 personal docente e investigador de la universi... NaN \n", "... ... ... \n", "10988461 personal docente e investigador de la universi... NaN \n", "10988510 personal docente e investigador de la universi... NaN \n", "10988922 een korte inleiding op waterverwarmingstoestel... NaN \n", "10988929 tentu saja semua permainan yang disediakan aka... NaN \n", "10989073 welcome to my page! im still finding my way ar... NaN \n", "\n", " primary_email keywords external_ids \\\n", "613 NaN NaN \n", "1145 NaN NaN \n", "1519 NaN NaN \n", "2269 NaN [[researcherid, e-9723-2016]] \n", "6163 NaN NaN \n", "... ... ... ... \n", "10988461 mlvg@ugr.es NaN NaN \n", "10988510 NaN NaN \n", "10988922 NaN NaN \n", "10988929 NaN NaN \n", "10989073 NaN NaN \n", "\n", " education \\\n", "613 NaN \n", "1145 NaN \n", "1519 [[graduate studies, master of science in admin... \n", "2269 [[geometria y topologia, , universidad de gran... \n", "6163 NaN \n", "... ... \n", "10988461 NaN \n", "10988510 [[lengua española, doctora en estudios lingüís... \n", "10988922 NaN \n", "10988929 NaN \n", "10989073 NaN \n", "\n", " employment n_works \\\n", "613 NaN 0 \n", "1145 [[, universidad de granada, granada, andalucia... 1 \n", "1519 [[research and program administrator, michigan... 0 \n", "2269 [[, universidad de granada, granada, andalucia... 51 \n", "6163 [[, universidad de granada, granada, andalucia... 0 \n", "... ... ... \n", "10988461 [[, universidad de granada, granada, andalucia... 0 \n", "10988510 [[profesor asociado, universidad de castilla-l... 2 \n", "10988922 NaN 0 \n", "10988929 NaN 0 \n", "10989073 NaN 0 \n", "\n", " works_source \\\n", "613 NaN \n", "1145 [crossref] \n", "1519 NaN \n", "2269 [researcherid, crossref] \n", "6163 NaN \n", "... ... \n", "10988461 NaN \n", "10988510 [mla international bibliography, maría nieves ... \n", "10988922 NaN \n", "10988929 NaN \n", "10989073 NaN \n", "\n", " activation_date last_update_date \\\n", "613 2020-09-28 09:13:52.705000+00:00 2020-09-28 09:17:36.855000+00:00 \n", "1145 2015-01-19 13:01:31.041000+00:00 2020-03-10 10:17:07.174000+00:00 \n", "1519 2020-05-04 18:55:27.062000+00:00 2020-08-04 14:52:03.330000+00:00 \n", "2269 2015-02-08 18:57:35.978000+00:00 2020-07-20 07:50:58.740000+00:00 \n", "6163 2015-06-01 08:43:00.352000+00:00 2017-06-19 07:44:32.649000+00:00 \n", "... ... ... \n", "10988461 2015-07-29 07:17:22.959000+00:00 2020-11-26 19:55:46.827000+00:00 \n", "10988510 2015-07-09 23:19:08.782000+00:00 2020-12-08 14:01:30.548000+00:00 \n", "10988922 2020-12-10 21:40:39.371000+00:00 2020-12-10 21:49:33.129000+00:00 \n", "10988929 2020-11-24 13:18:00.296000+00:00 2020-11-24 13:21:10.985000+00:00 \n", "10989073 2020-12-13 00:34:15.955000+00:00 2020-12-13 00:37:21.793000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "613 0 0 0 0 False NaN \n", "1145 1 0 0 0 True NaN \n", "1519 0 0 0 0 False NaN \n", "2269 35 0 0 46 True NaN \n", "6163 0 0 0 0 False NaN \n", "... ... ... ... ... ... ... \n", "10988461 0 0 0 0 False ugr.es \n", "10988510 0 0 0 1 False NaN \n", "10988922 0 0 0 0 False NaN \n", "10988929 0 0 0 0 False NaN \n", "10989073 0 0 0 0 False NaN \n", "\n", " other_email_domains url_domains n_emails n_urls \\\n", "613 NaN [aestheticrecord.com] 1 \n", "1145 NaN [ugr.es] 1 \n", "1519 NaN NaN \n", "2269 NaN [ugr.es] 1 \n", "6163 NaN [ugr.es] 1 \n", "... ... ... ... ... \n", "10988461 NaN [ugr.es] 1 \n", "10988510 NaN [uclm.es] 1 \n", "10988922 NaN [zonneboilermagazijn.nl] 1 \n", "10988929 NaN [google.com] 1 \n", "10989073 NaN [139.59.245.36] 1 \n", "\n", " n_ids n_keywords n_education n_employment \\\n", "613 \n", "1145 1 \n", "1519 2 3 \n", "2269 1 1 1 \n", "6163 1 \n", "... ... ... ... ... \n", "10988461 1 \n", "10988510 1 1 \n", "10988922 \n", "10988929 \n", "10989073 \n", "\n", " ext_works_source n_ext_work_source authoritative \\\n", "613 NaN False \n", "1145 [crossref] 1 True \n", "1519 NaN False \n", "2269 [researcherid, crossref] 2 True \n", "6163 NaN False \n", "... ... ... ... \n", "10988461 NaN False \n", "10988510 [mla international bibliography] 1 True \n", "10988922 NaN False \n", "10988929 NaN False \n", "10989073 NaN False \n", "\n", " n_valid_education n_valid_employment biography_length \\\n", "613 NaN NaN 165 \n", "1145 NaN 0.0 127 \n", "1519 2.0 2.0 22 \n", "2269 1.0 0.0 141 \n", "6163 NaN 0.0 143 \n", "... ... ... ... \n", "10988461 NaN 0.0 122 \n", "10988510 1.0 1.0 130 \n", "10988922 NaN NaN 151 \n", "10988929 NaN NaN 150 \n", "10989073 NaN NaN 98 \n", "\n", " biography_n_sentences biography_n_words \n", "613 2.0 28.0 \n", "1145 1.0 19.0 \n", "1519 1.0 2.0 \n", "2269 1.0 21.0 \n", "6163 1.0 22.0 \n", "... ... ... \n", "10988461 1.0 19.0 \n", "10988510 1.0 19.0 \n", "10988922 1.0 22.0 \n", "10988929 1.0 24.0 \n", "10989073 2.0 21.0 \n", "\n", "[19571 rows x 38 columns]" ] }, "execution_count": 86, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[(df.biography.notna()) & (df.biography.duplicated(keep=False))]" ] }, { "cell_type": "code", "execution_count": 87, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcid
biography
car title loans are a more straightforward way to borrow the money you need, without dealing with the hassles of a traditional bank loan. because they use the equity value of your qualifying vehicle to secure funding, they are a great borrowing option for customers with credit issues, or who need expedited funding. our customers know to turn to our local experts when they need auto title loans. our team is excited to get you your loan today!343
hi, how are you? it is really cool to find an entire community of people interested in the same thing you are.229
the sound and the fury is one of my all-time favorite novels but i have many.218
悪意に満ちたバイアス（偏った）記事がいまなお健在だという好例の記事を見つけた。知識層が最も好むとされる大手新聞（8月24日付)の朝刊記事だ。グリホサートという除草剤が発がん性や胎児への影響をもたらすと指摘する記事だが、先進国の公的機関は明確に否定している。こういう記事が続く限り、活字メディアはいよいよ専門家から見放されるだろうとの思いを強くする。137
one of my passions is people watching but i dont get to do it as much as i would like.132
......
environmental engineering2
insaat kalip yagi, kalip yag, plywood kalip yagi, ahsap kalip yagi alanlarinda profesyonel ve organik olarak imalat yapan sirketimiz musteri goruslerini son derece onemsemektedir.2
<p class=p__7>since life and medical insurance commissions are front-loaded, agents generally do not get a commission after the 3rd policy renewal.2
professor of otolaryngology2
ive traveled to several countries and have several more to see. i have a lizard named tinky.2
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2563 rows × 1 columns

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" ], "text/plain": [ " orcid\n", "biography \n", "car title loans are a more straightforward way ... 343\n", "hi, how are you? it is really cool to find an e... 229\n", "the sound and the fury is one of my all-time fa... 218\n", "悪意に満ちたバイアス（偏った）記事がいまなお健在だという好例の記事を見つけた。知識層が最も好む... 137\n", "one of my passions is people watching but i don... 132\n", "... ...\n", "environmental engineering 2\n", "insaat kalip yagi, kalip yag, plywood kalip yag... 2\n", "

since life and medical insurance ... 2\n", "professor of otolaryngology 2\n", "ive traveled to several countries and have seve... 2\n", "\n", "[2563 rows x 1 columns]" ] }, "execution_count": 87, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dup_bios = df[['orcid', 'biography']].groupby('biography').count().sort_values('orcid', ascending=False)\n", "dup_bios = dup_bios[dup_bios.orcid > 1]\n", "dup_bios" ] }, { "cell_type": "code", "execution_count": 88, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "orcid 19571\n", "dtype: int64" ] }, "execution_count": 88, "metadata": {}, "output_type": "execute_result" } ], "source": [ "dup_bios.sum()" ] }, { "cell_type": "code", "execution_count": 89, "metadata": {}, "outputs": [], "source": [ "# dup_bios.to_csv('../data/processed/dup_bios.csv', index=True, columns=[], header=False)\n", "dup_bios.to_csv('../data/processed/dup_bios.csv')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "I noticed that some bios can be found on google in other (probably fake) accounts.\n", "E.g. \"hi, how are you? it is really cool to find an entire community of people interested in the same thing you are.\"\n", "can be found on https://dribbble.com/camrodoabh/about" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Dup bios URLs**" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's plot the domains dup bios point to" ] }, { "cell_type": "code", "execution_count": 90, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": false }, "data": [ { "type": "bar", "x": [ "image-perth.org", "doodlekit.com", "bolasportsbo.com", "penzu.com", "google.com", "tumblr.com", "diigo.com", "skyrock.com", "lucialpiazzale.com", "wordpress.com", "yousher.com", "theglensecret.com", "wpsuo.com", "jigsy.com", "iamarrows.com", "hatenablog.com", "gumroad.com", "tearosediner.net", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "BIO_SNIPPET = 'really cool to find an entire community of people'\n", "dup_bios_df = df[df.biography.str.contains(BIO_SNIPPET)].explode('url_domains').groupby('url_domains')[['orcid']].count().sort_values('orcid', ascending=False)\n", "\n", "set_top_n(50)\n", "data = [\n", " go.Bar(\n", " x=dup_bios_df[:TOP_N].index,\n", " y=dup_bios_df[:TOP_N]['orcid']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='URL distribution for bio \"%s\"' % BIO_SNIPPET,\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12))\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Dup bios and date of activation**" ] }, { "cell_type": "code", "execution_count": 91, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", "plotlyServerURL": "https://plot.ly", "showLink": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "BIO_SNIPPET = 'more straightforward way to borrow the money you'\n", "dup_bios_df = df[df.biography.str.contains(BIO_SNIPPET)]\n", "# .groupby(df.activation_date.dt.month)[['orcid']].count().sort_values('orcid', ascending=False)\n", "\n", "data = [\n", " go.Histogram(\n", " x=dup_bios_df['activation_date'],\n", " y=dup_bios_df['orcid'],\n", " histfunc='count'\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Activation distribution for bio \"%s\"' % BIO_SNIPPET,\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12))\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "fig.update_traces(xbins_size='D1')\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "For all duplicated bios" ] }, { "cell_type": "code", "execution_count": 92, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "linkText": "Export to plot.ly", 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"white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "title": { "text": "Activation date distribution for all dup bios" }, "xaxis": { "tickangle": 45, "tickfont": { "size": 12 } } } }, "text/html": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "dup_bios_df = df[(df.biography.notna()) & (df.biography.duplicated(keep=False))]\n", "\n", "data = [\n", " go.Histogram(\n", " x=dup_bios_df['activation_date'],\n", " y=dup_bios_df['orcid'],\n", " histfunc='count'\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Activation date distribution for all dup bios',\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12))\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "fig.update_traces(xbins_size='D1')\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "While in general it holds a seasonality (e.g. weekends and holidays)\n", "(Commented as the HTML generated is huge.. will sort this out)" ] }, { "cell_type": "code", "execution_count": 129, "metadata": {}, "outputs": [], "source": [ "# YEAR = 2020\n", "# data = [\n", "# go.Histogram(\n", "# x=df[df.activation_date.dt.year == YEAR]['activation_date'],\n", "# y=df[df.activation_date.dt.year == YEAR]['orcid'],\n", "# histfunc='count'\n", "# )\n", "# ]\n", "\n", "# layout = go.Layout(\n", "# title='Activation date distribution (general) for %s' % YEAR,\n", "# xaxis=dict(tickangle=45, tickfont=dict(size=12))\n", "# )\n", "# fig = go.Figure(data=data, layout=layout)\n", "# fig.update_traces(xbins_size='D1')\n", "# plotly.offline.iplot(fig)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Dup bios with extended length**" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Last update date ~ to activation date in duplicated bios**" ] }, { "cell_type": "code", "execution_count": 95, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "set_top_n(50)\n", "data = [\n", " go.Bar(\n", " x=top_urls[:TOP_N].index,\n", " y=top_urls[:TOP_N]['orcid']\n", " )\n", "]\n", "\n", "layout = go.Layout(\n", " title='Top-%s URL domains' % TOP_N,\n", " xaxis=dict(tickangle=45, tickfont=dict(size=12), range=TOP_RANGE)\n", ")\n", "fig = go.Figure(data=data, layout=layout)\n", "plotly.offline.iplot(fig)" ] }, { "cell_type": "code", "execution_count": 153, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " orcid\n", "url_domains \n", "linkedin.com 78418\n", "researchgate.net 67823\n", "google.com 44804\n", "cnpq.br 24635\n", "academia.edu 21174\n", "... ...\n", "gil-sanzlab.com 1\n", "gilabola88.net 1\n", "gilabs.com 1\n", "giladfeldman.org 1\n", "​ http 1\n", "\n", "[199625 rows x 1 columns]" ] }, "execution_count": 153, "metadata": {}, "output_type": "execute_result" } ], "source": [ "top_urls = df[['orcid', 'url_domains']]\\\n", " .explode('url_domains')\\\n", " .reset_index(drop=True)\\\n", " .groupby('url_domains')\\\n", " .count()\\\n", " .sort_values('orcid', ascending=False)" ] }, { "cell_type": "code", "execution_count": 154, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "142061 0000-0002-3869-9561 True True \n", "\n", " given_names family_name \\\n", "142061 kimble esterly \n", "\n", " biography other_names \\\n", "142061 when parents tackle additional dedications out... NaN \n", "\n", " primary_email keywords external_ids education employment n_works \\\n", "142061 NaN NaN NaN NaN 0 \n", "\n", " works_source activation_date \\\n", "142061 NaN 2020-12-25 20:10:07.336000+00:00 \n", "\n", " last_update_date n_doi n_arxiv n_pmc n_other_pids \\\n", "142061 2020-12-25 20:36:27.423000+00:00 0 0 0 0 \n", "\n", " label primary_email_domain other_email_domains url_domains \\\n", "142061 False NaN NaN [lucialpiazzale.com] \n", "\n", " n_emails n_urls n_ids n_keywords n_education n_employment \\\n", "142061 1 \n", "\n", " ext_works_source n_ext_work_source authoritative n_valid_education \\\n", "142061 NaN False NaN \n", "\n", " n_valid_employment biography_length biography_n_sentences \\\n", "142061 NaN 150 1.0 \n", "\n", " biography_n_words date_diff ref_year date_stale \n", "142061 25.0 0.018288 2020 116.515419 " ] }, "execution_count": 158, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.orcid == '0000-0002-3869-9561']" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Assign spam score from precanned library**" ] }, { "cell_type": "code", "execution_count": 96, "metadata": {}, "outputs": [], "source": [ "# bios = df[df.biography.notna()][['orcid', 'biography']]" ] }, { "cell_type": "code", "execution_count": 97, "metadata": {}, "outputs": [], "source": [ "# def score(bio):\n", "# try:\n", "# return antispam.score(bio)\n", "# except: # if len(bio) < 3 the filter doesn't know how to handle that\n", "# return -1" ] }, { "cell_type": "code", "execution_count": 98, "metadata": {}, "outputs": [], "source": [ "# bios['spam_score'] = bios.biography.apply(lambda bio: score(bio))" ] }, { "cell_type": "code", "execution_count": 99, "metadata": {}, "outputs": [], "source": [ "# bios[bios.spam_score == -1] # these are artefacts (no scoring possible)" ] }, { "cell_type": "code", "execution_count": 100, "metadata": {}, "outputs": [], "source": [ "# bios.spam_score.replace(to_replace=-1, value=np.nan, inplace=True)" ] }, { "cell_type": "code", "execution_count": 101, "metadata": {}, "outputs": [], "source": [ "# bios.spam_score.describe()" ] }, { "cell_type": "code", "execution_count": 102, "metadata": {}, "outputs": [], "source": [ "# bios[bios.spam_score > 0.99]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Spam goes nowhere." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**Search offending words, sexually explicit content, etc.**" ] }, { "cell_type": "code", "execution_count": 103, "metadata": {}, "outputs": [], "source": [ "# bios['profanity_score'] = profanity_check.predict_prob(bios.biography)" ] }, { "cell_type": "code", "execution_count": 104, "metadata": {}, "outputs": [], "source": [ "# bios[bios.profanity_score > 0.90]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Profanity detection goes nowhere too." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Dates" ] }, { "cell_type": "code", "execution_count": 105, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "95398" ] }, "execution_count": 105, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.activation_date == df.last_update_date]['orcid'].count()" ] }, { "cell_type": "code", "execution_count": 106, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "124216" ] }, "execution_count": 106, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.activation_date > df.last_update_date]['orcid'].count()" ] }, { "cell_type": "code", "execution_count": 107, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "3428336" ] }, "execution_count": 107, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[(df.activation_date.dt.year == df.last_update_date.dt.year) &\n", " (df.activation_date.dt.month == df.last_update_date.dt.month) &\n", " (df.activation_date.dt.day == df.last_update_date.dt.day)]['orcid'].count()" ] }, { "cell_type": "code", "execution_count": 108, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 1.098965e+07\n", "mean 5.663836e+02\n", "std 7.434119e+02\n", "min -9.120370e-06\n", "25% 1.145045e-02\n", "50% 1.980872e+02\n", "75% 9.430198e+02\n", "max 3.084876e+03\n", "Name: date_diff, dtype: float64" ] }, "execution_count": 108, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df['date_diff'] = (df.last_update_date - df.activation_date) / np.timedelta64(1, 'D')\n", "df.date_diff.describe()" ] }, { "cell_type": "code", "execution_count": 109, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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orcidverified_emailverified_primary_emailgiven_namesfamily_namebiographyother_namesprimary_emailkeywordsexternal_idseducationemploymentn_worksworks_sourceactivation_datelast_update_daten_doin_arxivn_pmcn_other_pidslabelprimary_email_domainother_email_domainsurl_domainsn_emailsn_urlsn_idsn_keywordsn_educationn_employmentext_works_sourcen_ext_work_sourceauthoritativen_valid_educationn_valid_employmentbiography_lengthbiography_n_sentencesbiography_n_wordsdate_diff
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" ], "text/plain": [ " orcid verified_email verified_primary_email \\\n", "10771774 0000-0002-4035-0449 False False \n", "\n", " given_names family_name biography other_names primary_email \\\n", "10771774 aracelis fiffe pérez NaN \n", "\n", " keywords external_ids education employment n_works works_source \\\n", "10771774 NaN NaN NaN NaN 0 NaN \n", "\n", " activation_date last_update_date \\\n", "10771774 2020-08-04 14:18:03.177000+00:00 2020-08-04 14:18:02.389000+00:00 \n", "\n", " n_doi n_arxiv n_pmc n_other_pids label primary_email_domain \\\n", "10771774 0 0 0 0 False NaN \n", "\n", " other_email_domains url_domains n_emails n_urls n_ids n_keywords \\\n", "10771774 NaN NaN \n", "\n", " n_education n_employment ext_works_source n_ext_work_source \\\n", "10771774 NaN \n", "\n", " authoritative n_valid_education n_valid_employment \\\n", "10771774 False NaN NaN \n", "\n", " biography_length biography_n_sentences biography_n_words \\\n", "10771774 NaN NaN \n", "\n", " date_diff \n", "10771774 -0.000009 " ] }, "execution_count": 109, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df[df.date_diff == df.date_diff.min()]" ] }, { "cell_type": "code", "execution_count": 110, "metadata": {}, "outputs": [], "source": [ "df.loc[df.date_diff < 0, 'date_diff'] = 0" ] }, { "cell_type": "code", "execution_count": 111, "metadata": {}, "outputs": [], "source": [ "df['ref_year'] = df.activation_date.dt.year" ] }, { "cell_type": "code", "execution_count": 112, "metadata": {}, "outputs": [], "source": [ "# fig = go.Figure()\n", "# years = range(2013, 2021, 1)\n", "\n", "# for year in years:\n", "# fig.add_trace(go.Violin(x=df[df.ref_year == year].ref_year,\n", "# y=df[df.ref_year == year].date_diff,\n", "# name=year,\n", "# points=False,\n", "# box_visible=True,\n", "# meanline_visible=True))\n", "\n", "# fig.show()" ] }, { "cell_type": "code", "execution_count": 115, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16, 6))\n", "ax = sns.violinplot(x='ref_year', y='date_diff', data=df)" ] }, { "cell_type": "code", "execution_count": 116, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df['ref_year'] = df.last_update_date.dt.year\n", "\n", "plt.figure(figsize=(16, 6))\n", "ax = sns.violinplot(x='ref_year', y='date_diff', data=df)" ] }, { "cell_type": "code", "execution_count": 117, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "count 1.098965e+07\n", "mean 4.956143e+02\n", "std 5.441444e+02\n", "min 2.771697e+01\n", "25% 7.902869e+01\n", "50% 2.586001e+02\n", "75% 7.215915e+02\n", "max 2.967694e+03\n", "Name: date_stale, dtype: float64" ] }, "execution_count": 117, "metadata": {}, "output_type": "execute_result" } ], "source": [ "tz = pytz.timezone('UTC')\n", "NOW = datetime.now(tz)\n", "\n", "df['date_stale'] = (NOW - df.last_update_date) / np.timedelta64(1, 'D')\n", "df.date_stale.describe()" ] }, { "cell_type": "code", "execution_count": 118, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(16, 6))\n", "ax= sns.violinplot(x='ref_year', y='date_stale', data=df)" ] }, { "cell_type": "code", "execution_count": 119, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "df['ref_year'] = df.activation_date.dt.year\n", "\n", "plt.figure(figsize=(16, 6))\n", "ax = sns.violinplot(x='ref_year', y='date_stale', data=df)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Todo:\n", "- stale profiles with information initially set are likely to be fake?\n", "- the more info is present" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# All VS all colleration" ] }, { "cell_type": "code", "execution_count": 120, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "coloraxis": "coloraxis", "hovertemplate": "x: %{x}
y: %{y}
color: %{z}", "name": "0", "type": "heatmap", "x": [ "verified_email", "verified_primary_email", "n_works", "n_doi", "n_arxiv", "n_pmc", "n_other_pids", "label", "n_emails", "n_urls", "n_ids", "n_keywords", "n_education", "n_employment", "n_ext_work_source", "n_valid_education", "n_valid_employment", "biography_length", "biography_n_sentences", "biography_n_words", "date_diff", "ref_year", "date_stale" ], "xaxis": "x", "y": [ "verified_email", "verified_primary_email", "n_works", "n_doi", "n_arxiv", "n_pmc", "n_other_pids", "label", "n_emails", "n_urls", "n_ids", "n_keywords", "n_education", "n_employment", "n_ext_work_source", "n_valid_education", "n_valid_employment", "biography_length", "biography_n_sentences", "biography_n_words", "date_diff", "ref_year", "date_stale" ], "yaxis": "y", "z": [ [ 1, 0.9649829131836175, 0.07899833525811681, 0.07259719921935885, 0.0064613638682561435, 0.030614701011724112, 0.0606246420123506, 0.1240658917743258, 0.03267144560134065, 0.10712349577355784, 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